@inproceedings{bini:chil2024,
  author    = {Bini, Lorenzo and Mojarrad, Fatemeh Nassajian and Liarou, Margarita and Matthes, Thomas and Marchand-Maillet, Stéphane},
  title     = {{FlowCyt}: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking},
  booktitle = {Conference on Health, Inference, and Learning (CHIL'24)},
  year={2024},
  url    = {https://arxiv.org/abs/2403.00024},
}

    @inproceedings{ruiz:sisap2022,
  author    = {Ubaldo Ruiz and
               St{\'{e}}phane Marchand{-}Maillet and
               Edgar Ch{\'{a}}vez},
  editor    = {Tom{\'{a}}s Skopal and
               Fabrizio Falchi and
               Jakub Lokoc and
               Maria Luisa Sapino and
               Ilaria Bartolini and
               Marco Patella},
  title     = {Stable Anchors for Matching Unlabelled Point Clouds},
  booktitle = {Similarity Search and Applications - 15th International Conference,
               {SISAP} 2022, Bologna, Italy, October 5-7, 2022, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {13590},
  pages     = {54--63},
  publisher = {Springer},
  year      = {2022},
  url       = {https://doi.org/10.1007/978-3-031-17849-8\_5},
  doi       = {10.1007/978-3-031-17849-8\_5},
  timestamp = {Tue, 04 Oct 2022 20:28:43 +0200},
  biburl    = {https://dblp.org/rec/conf/sisap/RuizMC22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


   @InProceedings{marchand:sisap2022,
author="Marchand-Maillet, Stephane
and Ch{\'a}vez, Edgar",
editor="Skopal, Tom{\'a}{\v{s}}
and Falchi, Fabrizio
and Loko{\v{c}}, Jakub
and Sapino, Maria Luisa
and Bartolini, Ilaria
and Patella, Marco",
title="HubHSP Graph: Effective Data Sampling for Pivot-Based Representation Strategies",
booktitle="Similarity Search and Applications",
year="2022",
publisher="Springer International Publishing",
address="Bologna, Italy",
pages="164--177",
abstract="Given a finite dataset in a metric space, we investigate the definition of a representative sample. Such a definition is important in data analysis strategies to seed algorithms (such as {\$}{\$}k{\$}{\$}-means) and for pivot-based data indexing techniques. We discuss the geometrical and statistical facets of such a definition.",
isbn="978-3-031-17849-8",
note{(Best paper award)}
}



  @inproceedings{marini:iccvw2021,
  author    = {Niccol{\`{o}} Marini and
               Manfredo Atzori and
               Sebastian Ot{\'{a}}lora and
               Stephane Marchand-Maillet and
               Henning M{\"{u}}ller},
  title     = {H{\&}E-adversarial network: a convolutional neural network to
               learn stain-invariant features through Hematoxylin {\&} Eosin
               regression},
  booktitle = {{IEEE/CVF} International Conference on Computer Vision Workshops,
               {ICCVW} 2021, Montreal, BC, Canada, October 11-17, 2021},
  pages     = {601--610},
  publisher = {{IEEE}},
  year      = {2021},
  url       = {https://doi.org/10.1109/ICCVW54120.2021.00073},
  doi       = {10.1109/ICCVW54120.2021.00073}
}



   @inproceedings{messina:cbmi2021,
  author    = {Nicola Messina and Giuseppe Amato and Fabrizio Falchi and Claudio Gennaro and Stephane Marchand-Maillet},
  title     = {Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features},
  booktitle = {18th International Conference on Content-Based Multimedia Indexing, {CBMI} 2021, Lille, France, June 28-30, 2021},
  pages     = {1--6},
  publisher = {{IEEE}},
  year      = {2021},
  url       = {https://doi.org/10.1109/CBMI50038.2021.9461890}
}

   @inproceedings{pedreira:sisap2020,
  author    = {Oscar Pedreira and Stephane Marchand-Maillet and Edgar Ch{\'{a}}vez},
  title     = {Reverse k-Nearest Neighbors Centrality Measures and Local Intrinsic Dimension},
  booktitle = {Similarity Search and Applications - 13th International Conference (SISAP2020)},   
  address = {Copenhagen, DK - online},
  year      = {2020},
} 

   @inproceedings{marchand:sisap2021,
  author    = {Stephane Marchand-Maillet and Oscar Pedreira and Edgar Chavez},
  title     = {Structural Intrinsic Dimensionality},
  booktitle = {Similarity Search and Applications - 14th International Conference (SISAP2021)},   
  address = {Dortmund, DE - online},
  year      = {2021},
} 


   @inproceedings{brangbour:cdve2020,
  author    = {Etienne Brangbour and Pierrick Bruneau and Thomas Tamisier and St{\'{e}}phane Marchand{-}Maillet},
  title     = {Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers},
  booktitle = {Cooperative Design, Visualization, and Engineering - 17th International
               Conference, {CDVE}},   
  address = {Bangkok, TH - online},
  year      = {2020},
} 

   @inproceedings{romanrangel:mcpr2020,
  author    = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title     = {Orthogonal Local Image Descriptors with Convolutional Autoencoders},
  booktitle = {Mexican Conference on Pattern Recognition (MCPR2020)},   
  address = {Morelia, MX},
  year      = {2020},
} 

    @inproceedings{ouvrard:sofsem2020,
  author    = {Xavier Ouvrard and Jean-Marie Le Goff and Stephane Marchand-Maillet},
  title     = {The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets},
  booktitle = {46th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2020},
  year      = {2020},
  url = {https://arxiv.org/abs/1905.11695}
  }
  
   @inproceedings{brangbour:ci2019,
  author    = {Etienne Brangbour and Pierrick Bruneau and Stéphane Marchand-Maillet and Renaud Hostache and Marco Chini and Patrick Matgen and Thomas Tamisier},
  title     = {Computing flood probabilities using Twitter: application to the Houston urban area during {Harvey}},
  booktitle = {Climate Informatics 2019},
  year      = {2019},
  }



   @inproceedings{hoyos:sisap2019,
  author    = {Angello Hoyos and Ubaldo Ruiz and Stephane Marchand-Maillet and Edgar Chavez},
  title     = {Indexability-Based Dataset Partitioning},
  booktitle = {Similarity Search and Applications - 12th International Conference,
               {SISAP} 2019, Newark, NJ, USA, October 2-4, 2019, Proceedings},
  pages     = {143--150},
  year      = {2019},
  url       = {https://doi.org/10.1007/978-3-030-32047-8},
  doi       = {10.1007/978-3-030-32047-8\_13}
  }


   @inproceedings{gregorova:uai2018,
   author = { Magda Gregorová and Alexandros Kalousis and Stéphane Marchand-Maillet },
    title = {Structured Non-linear Variable Selection},
  booktitle = {Conference on Uncertainty in Artificial Intelligence UAI2018},
  address = {Monterey, CA},
  year      = {2018},
}

   @inproceedings{gregorova:ecml2018,
   author = { Magda Gregorová and Jason Ramapuram and Alexandros Kalousis and Stéphane Marchand-Maillet },
    title = { Large-scale Nonlinear Variable Selection via Kernel Random Features. },
  booktitle = {ECML/PKDD 2018},
  address = {Dublin, IE},
  year      = {2018},
}

   @inproceedings{ouvrard:MCCC322018,
  author    = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title     = {On {Hb}-graphs and their application to hypergraph e-adjacency tensor},
  booktitle = {MCCCC 32 - Midwest Conference on Combinatorics and Combinatorial Computing},
  address = {Duluth, USA},
  year      = {2018},
}

   @inproceedings{ouvrard:IMA2018,
  author    = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},
  title     = {On Adjacency and e-Adjacency in General Hypergraphs: Towards a New e-Adjacency Tensor},
  booktitle = {IMA Conference on Theoretical and Computational Discrete Mathematics},
  address = {Derby, UK},
  year      = {2018},
}

   @inproceedings{gregorova:ecml2017,
  author    = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet},
  title     = {Forecasting and Granger modelling with non-linear dynamical dependencies},
  booktitle = {ECML/PKDD 2017},
  address = {Skopje, MD},
  year      = {2017},
}

   @inproceedings{gregorova:acml2017,
  author    = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet},
  title     = {Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks},
  booktitle = {Asian Conference on Machine Learning (ACML2017)},
  address = {Soul, South Korea},
  year      = {2017},
}

  @inproceedings{romanrangel:mcpr2017,
  author    = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title     = {Assessing Deep Learning Architectures for Vizualising Maya Hieroglyphs},
  booktitle = {Mexican Conference on Pattern Recognition (MCPR2017)},
  address = {Mexico, MX},
  year      = {2017},
}

  @inproceedings{romanrangel:cbmi2017,
  author    = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title     = {Visualizing weakly-annotated multi-label Mayan inscriptions with supervised t-{SNE}},
  booktitle = {Content-Based Multimedia Indexing (CBMI2017)},
  address = {Florence, IT},
  year      = {2017},
}


  @inproceedings{nielsen:gsi2017,
  author    = {Frank Nielsen and Ke Sun and Stephane Marchand-Maillet},
  title     = {k-means clustering with Holder Divergences},
  booktitle = {Geometric Science of Information (GSI2017)},
  address = {Paris, FR},
  year      = {2017},
}

  @inproceedings{romanrangel:visart-eccv2016,
  author    = {Edgar Roman-Rangel and Gulcan Can and Stephane Marchand-Maillet and Rui Hu and Carlos Pallan Gayol and Guido Krempel and Jakub Spotak and Jean-Marc Odobez and Daniel Gatica-Perez},
  title     = {Transferring Neural Representations for Low-dimensional Indexing of Maya Hieroglyphic Art},
  booktitle = {3rd Workshop on Computer Vision for Art Analysis (VISART-ECCV 2016)},
  address = {Amsterdam, NL},
  year      = {2016},
}

  @inproceedings{romanrangel:icpr2016,
  author    = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title     = {Indexing Mayan Hieroglyphs with Neural Codes},
  booktitle = {International Conference on Pattern Recognition (ICPR 2016)},
  address = {Cancun, MX},
  year      = {2016},
}


  @inproceedings{osipyan:sisap2016,
  author    = {Hasmik Osipyan and Jakub Lokoč and Stephane Marchand-Maillet},
  title     = {Similarity Search of Sparse Histograms on GPU Architecture},
  booktitle = {9th International Conference on Similarity Search and Applications (SISAP 2016)},
  address = {Tokyo, JP},
  year      = {2016},
}


  @inproceedings{marchand:sisap2016,
  author    = {Stephane Marchand-Maillet and Edgar Roman-Rangel and Hisham Mohamed and Frank Nielsen},
  title     = {Quantifying the invariance and robustness of Permutation-based Indexing schemes},
  booktitle = {9th International Conference on Similarity Search and Applications (SISAP 2016)},
  address = {Tokyo, JP},
  year      = {2016},
}

  @inproceedings{romanrangel:mcpr2016,
  author    = {Edgar Roman-Rangel and Diego Jimenez-Badillo and Stephane Marchand-Maillet},
  title     = {Rotation Invariant Local Shape Descriptors for Classification of Archaeological 3D Models},
  booktitle = {Mexican Conference on Pattern Recognition (MCPR 2016)},
  address = {Guanajuato, MX},
  year      = {2016},
}

  @inproceedings{schwander:icassp2016,
  author    = {Olivier Schwander and Stephane Marchand-Maillet and Frank Nielsen},
  title     = {Comix: Joint estimation and lightspeed comparison of mixture models},
  booktitle = {IEEE ICASSP 2016, Shanghai, China, March 2016},
  year      = {2016},
}

  @inproceedings{gregorova:icml2015,
  author    = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet and Jun Wang},
  title     = {Learning coherent Granger-causality in panel vector autoregressive models},
  booktitle = {Demand Forecasting Workshop at ICML 2015},
  year      = {2015},
 }
 
  @inproceedings{sun:nips2015,
  author    = {Ke Sun and Jun Wang and Alexandros Kalousis and Stephane Marchand-Maillet},
  title     = {Space-Time Local Embeddings},
  booktitle = {Proceedings of Advances in Neural Information Processing Systems 28 (NIPS 2015), Montreal, Canada, December 2015},
  year      = {2015},
  url       = {http://papers.nips.cc/book/advances-in-neural-information-processing-systems-28-2015},
}


  @inproceedings{sun:icml2015,
  author    = {Ke Sun and Jun Wang and Alexandros Kalousis and Stephane Marchand-Maillet},
  title     = {Information Geometry and Minimum Description Length Networks},
  booktitle = {Proceedings of the 32nd International Conference on Machine Learning,
               ICML 2015, Lille, France, 6-11 July 2015},
  pages     = {49--58},
  year      = {2015},
  url       = {http://jmlr.org/proceedings/papers/v37/suna15.html},
}


  @inproceedings{osipyan:iccsw2015,
  author    = {Hasmik Osipyan and Martin Krulis and Stephane Marchand-Maillet},
  title     = {A Survey of CUDA-based Multidimensional Scaling on GPU Architecture},
  booktitle = {2015 Imperial College Computing Student Workshop, ICCSW 2015, September
               24-25, 2015, London, United Kingdom},
  pages     = {37--45},
  year      = {2015},
  url       = {http://dx.doi.org/10.4230/OASIcs.ICCSW.2015.37},
}

  @inproceedings{krulis:adbis2015,
  author    = {Martin Krulis and Hasmik Osipyan and Stephane Marchand-Maillet},
  title     = {Optimizing Sorting and Top-k Selection Steps in Permutation Based Indexing on GPUs},
  booktitle = {New Trends in Databases and Information Systems - ADBIS 2015 Short
               Papers and Workshops, Poitiers, France, September 8-11, 2015. Proceedings},
  pages     = {305--317},
  year      = {2015},
  url       = {http://dx.doi.org/10.1007/978-3-319-23201-0_33},
}

  @inproceedings{krulis:cbmi2015,
  author    = {Martin Krulis and Hasmik Osipyan and Stephane Marchand-Maillet},
  title     = {Permutation based indexing for high dimensional data on GPU architectures},
  booktitle = {13th International Workshop on Content-Based Multimedia Indexing,
               CBMI 2015, Prague, Czech Republic, June 10-12, 2015},
  pages     = {1--6},
  year      = {2015},
  url       = {http://dx.doi.org/10.1109/CBMI.2015.7153619},
}

  @InProceedings{marchand2014:CORIA,
  author = {Stephane Marchand-Maillet},
  title = {Digesting Large-scale Data},
  address =      {Nancy, France},
  booktitle = {Invited talk at the 11th French Information Retrieval Conference (CORIA 2014)},
  year = {2014},
}

  @InProceedings{mohamed2014:SISAP,
  author = {Hisham Mohamed and Hasmik Osipyan and Stephane Marchand-Maillet},
  title = {Multi-Core (CPU and GPU) For Permutation-Based Indexing},
  address =      {Los Cabos, Mexico},
  booktitle = {Proceedings of the 7th Internation Conference on Similarity Search and Applications (SISAP2014)},
  year = {2014},
}

   @InProceedings{sun2014:MaxEnt,
  author = {Ke Sun and Stephane Marchand-Maillet},
  title = {Information Geometric Density Estimation},
  address =      {Amboise, France},
  booktitle = {Proceedings of the 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt2014)},
  year = {2014},
}

   @InProceedings{romanrangel2014:ACM-MM,
  author = {Edgar Roman Rangel and Stephane Marchand-Maillet},
  title = {Automatic Removal of Visual Stop-Words},
  address =      {Orlando, FL},
  booktitle = {Proceedings of the 34th International ACM Multimeia Conference (ACM Multimedia 2014)},
  year = {2014},
}

   @InProceedings{osipyan2014:IRFC,
  author = {Hasmik Osipyan and April Morton and Stephane Marchand-Maillet},
  title = {Fast Interactive Information Retrieval with Sampling-Based MDS on GPU Architectures},
  address =      {Copenhagen, DK},
  booktitle = {Proceedings of the 7th Information Retrieval Facility Conference (IRFC 2014)},
  year = {2014},
}

   @InProceedings{sun2014:ACML,
  author = {Ke Sun and Hisham Mohamed and Stephane Marchand-Maillet},
  title = {Sparsity on Statistical Simplexes and Diversity in Social Ranking},
  address =      {Nha Trang, Vietnam},
  booktitle = {Proceedings of the 6th Asian Conference on Machine Learning (ACML 2014)},
  year = {2014},
}

   @InProceedings{morrison2014:MMM,
  author = {Bahareh Heravi and Donn Morrison and Prashant Khare and Stephane Marchand-Maillet},
  title = {Where is the news breaking? Towards a location-based event detection framework for journalists},
  address =      {Dublin, Ireland},
  booktitle = {Proceedings of the 20th Anniversary International Conference on MultiMedia Modeling (MMM 2014)},
  year = {2014},
}

   @InProceedings{gaticaperez2014:DH,
  author = {Gatica-Perez, Daniel and Pallan, Carlos and Marchand-Maillet, Stephane and Odobez, Jean-Marc and Roman Rangel, Edgar and Grube, Nikolai},
  title = {The MAAYA Project: Multimedia Analysis and Access for Documentation and Decipherment of Maya Epigraphy},
  address =      {Lausanne, Switzerland},
  booktitle = {Digital Humanities (DH 2014)},
  year = {2014},
}

   @InProceedings{romanrangel2014:MCPR,
  author = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title = {HOOSC128: A More Robust Local Shape Descriptor},
  address =      {Cancun, Mexico},
  booktitle = {Proceedings of the 6th Mexican Conference on Pattern Recognition (MCPR2014)},
  year = {2014},
}

   @InProceedings{mohamed2014:CBMI,
  author = {Hisham Mohamed and Hasmik Osipyan and Stephane Marchand-Maillet},
  title = {Fast Large-Scale Multimedia Indexing and Searching},
  address =      {Klagenfurt, Austria},
  booktitle = {Proceedings of the International Workshop on Content-Based Multimedia Indexing (CBMI 2014)},
  year = {2014},
}

   @InProceedings{wang2014:ICML,
  author = {Jun Wang and Ke Sun and Fei Sha and Stephane Marchand-Maillet and Alexandros Kalousis},
  title = {Two-Stage Metric Learning},
  address =      {Beijing, China},
  booktitle = {Proceedings of the International Conference on Machine Learning (ICML 2014)},
  year = {2014},
}

   @InProceedings{sun2014:ICML,
  author = {Ke Sun and Stephane Marchand-Maillet},
  title = {An Information Geometry of Statistical Manifold Learning},
  address =      {Beijing, China},
  booktitle = {Proceedings of the International Conference on Machine Learning (ICML 2014)},
  year = {2014},
}

   @InProceedings{hofreiter2013:SOCA,
  author = {Birgit Hofreiter and Stephane Marchand-Maillet},
  title = {Rank Aggregation for QoS-Aware Web Service Selection and Composition},
  address =      {Kauai Island, Hawai},
  booktitle = {Proceedings of the IEEE International Conference on Service Oriented Computing & Applications (SOCA 2013)},
  year = {2013},
}

   @InProceedings{romanrangel:MCPR,
  author = {Edgar Roman-Rangel and Jean-Marc Odobez and Daniel Gatica-Perez},
  title = {Evaluating Shape Descriptors for Detection of Maya Hieroglyphs},
  booktitle = {Proceedings of the 5th Mexican Conference on Pattern Recognition (MCPR)},
  year = {2013},
}

  @InProceedings{romanrangel2013:MM4CH,
  author = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title = {Stopwords Detection in Bag-of-Visual-Words: The Case of Retrieving Maya Hieroglyphs},
  booktitle = {Proceedings of the 2nd International Workshop on Multimedia for Cultural Heritage (MM4CH). In the 17th International Conference on Image Analysis and Processing (ICIAP)},
  year = {2013},
}

  @InProceedings{Roman-Rangel:ACPR2013,
  author = {Edgar Roman-Rangel and Stephane Marchand-Maillet},
  title = {Bag-of-Visual-Phrases via Local Contexts},
  booktitle = {Proceedings of Workshop in Recent Advances in Computer Vision and Pattern Recognition (RACVPR). In the 2nd Asian Conference on Pattern Recognition (ACPR)},
  year = {2013},
}
   @inproceedings{mohamed2011:AMR,
  author    = {Hisham Mohamed and Marc von Wyl and Eric Bruno and Stephane Marchand-Maillet},
  title     = {Learning-Based Interactive Retrieval in Large-Scale Multimedia Collections},
  booktitle = {Adaptive Multimedia Retrieval},
  year      = {2011},
  pages     = {1-17},
  ee        = {http://dx.doi.org/10.1007/978-3-642-37425-8_1}
}

   @inproceedings{mohamed2013:SISAP,
  author    = {Hisham Mohamed and Stephane Marchand-Maillet},
  title     = {Quantized Ranking for Permutation-Based Indexing},
  booktitle = {SISAP},
  address =      {Coruna, SP},
  year      = {2013},
  pages     = {103-114},
  ee        = {http://dx.doi.org/10.1007/978-3-642-41062-8_11}
}

   @inproceedings{mohamed2013:DEXA,
  author    = {Hisham Mohamed and Stephane Marchand-Maillet},
  title     = {Permutation-Based Pruning for Approximate K-NN Search},
  booktitle = {DEXA},
  address =      {Prague, CZ},
  year      = {2013},
  pages     = {40-47},
  url        = {http://dx.doi.org/10.1007/978-3-642-40285-2_6}
}


   @inproceedings {marchand2013:CBI,
    author = {Stephane Marchand-Maillet and Birgit Hofreiter },
    title = { Multi-dimensional Information Ordering to Support Decision-making Processes },
    year = { 2013 },
    booktitle = { IEEE Conference on Business Informatics (IEEE-CBI 2013) },
    address = { Vienna, AT },
    month = { July },
}

   @inproceedings{hisham2013:lsdsir,
    author = {Hisham Mohamed and Stephane Marchand-Maillet},
    title =      {Metric Suffix Array For Large-Scale Similarity Search},
    year =      {2013},
    booktitle = {ACM WSDM 2013 Workshop on Large Scale and Distributed Systems for Information Retrieval},
    address =      {Rome, IT},
    url = {http://viper.unige.ch/documents/pdf/mohamed2013-lsdir.pdf},
    month =      {February}
  }


   @inproceedings{sun2013:PAKDD,
    author = {Ke Sun and Donn Morrison and Eric Bruno and Stephane Marchand-Maillet},
    title =      {Learning Representative Nodes in Social Networks},
    year =      {2013},
    booktitle = {17th Pacific-Asia Conference on Knowledge Discovery and Data Mining},
    address =      {Gold Coast, AU},
    month =      {April}
  }

 @inproceedings{vonwyl2012:CEC,
  author = {Marc von Wyl and Stephane Marchand-Maillet},
  title =      {SwiftLink: Serendipitous Navigation Strategy for Large-scale Document Collections},
  year =      {2012},
  booktitle = {2nd International Workshop on Recommender Systems meet Databases (DEXA2012 - RSmeetDB)},
  url = {http://viper.unige.ch/documents/pdf/vonwyl2012-rsmeetdb.pdf},
  address =      {Vienna, Austria},
  month =      {September}
 }
   @inproceedings{hisham2012:parallelIF,
    author = {Hisham Mohamed and Stephane Marchand-Maillet},
    title =      {Parallel Approaches to Permutation-Based Indexing using Inverted Files},
    year =      {2012},
    booktitle = {5th International Conference on Similarity Search and Applications (SISAP)},
    address =      {Toronto, CA},
    month =      {August}
  }
     @inproceedings{vonwyl2012:ecommerce,
    author = {Marc von Wyl and Birgit Hofreiter and Stephane Marchand-Maillet},
    title =      {Serendipitous Exploration of Large-scale Product Catalogs},
    year =      {2012},
    booktitle = {14th IEEE International Conference on Commerce and Enterprise Computing (CEC 2012)},
    url = {http://viper.unige.ch/documents/pdf/vonwyl2012-cec.pdf},
    address =      {Hangzhou, CN},
    month =      {September}
  }  

   @inproceedings{sun2012:su,
    author = {Ke Sun and Eric Bruno and Stephane Marchand-Maillet},
    title =      {Stochastic Unfolding},
    year =      {2012},
    booktitle = {IEEE Machine Learning for Signal Processing Workshop (MLSP'2012)},
    address =      {Santander, Spain},
    month =      {September}
  }

     @inproceedings{sun2012:skeleton,
    author = {Ke Sun and Eric Bruno and Stephane Marchand-Maillet},
    title =      {Unsupervised Skeleton Learning for Manifold Denoising and Outlier Detection},
    year =      {2012},
    booktitle = {International Conference on Pattern Recognition (ICPR'2012)},
    address =      {Tsukuba, JP},
    month =      {September}
  }   

   @inproceedings{mohamed2012:mr-mpi,
    author = {Hisham Mohamed and Stephane Marchand-Maillet},
    title =      {Enhancing MapReduce using MPI and an optimized data exchange policy},
    year =      {2012},
    booktitle = {ICPP 2012: The 41st International Conference on Parallel Processing, (P2S2 Workshop)},
    address =      {Pittsburgh},
    month =      {September}
  }   

  @inproceedings{mohamed2012:mrompi,
    author = {Hisham Mohamed and Stephane Marchand-Maillet},
    title =      {Distributed Media indexing based on MPI and MapReduce},
    year =      {2012},
    booktitle = {Content-based Multimedia Indexing (CBMI'2012)},
    address =      {Annecy, FR},
    month =      {July}
  }

   @inproceedings{kludas2011:fusion,
    author = {Jana Kludas and Stephane Marchand-Maillet},
    title =      {Effective Multimodal Information Fusion by Structure Learning},
    year =      {2011},
    booktitle = {14th International Conference on Information Fusion (FUSION 2011)},
    address =      {Chicago, IL},
    month =      {July}
  }

   @inproceedings{morrison2011:cbmi,
    author = {Donn Morrison and Eric Bruno and Stephane Marchand-Maillet},
    title =      {Query log simulation for long-term learning in image retrieval},
    year =      {2011},
    booktitle = {Content-based Multimedia Indexinding (CBMI'11)},
    address =      {Madrid, Spain},
    month =      {May}
  }

   @inproceedings{vonwyl2011:icmr,
    author = {Marc von Wyl and Hisham Mohamed and Eric Bruno and Stephane Marchand-Maillet},
    title =      {A Parallel Cross-Modal Search Engine over Large-Scale Multimedia Collections with Interactive Relevance Feedback},
    year =      {2011},
    booktitle = {Demo at ACM International Conference on Multimedia Retrieval (ACM-ICMR'11)},
    address =      {Trento, Italy},
    month =      {April}
  }


  @inproceedings{szekely2010:vakd,
    author = {Eniko Szekely and Eric Bruno and Stephane Marchand-Maillet},
    title =      {High-dimensional multimodal distribution embedding},
    year =      {2010},
    booktitle = {IEEE ICDM 2010 Workshop on Visual Analytics and Knowledge Discovery (VAKD'10)},
    address =      {Sydney, Australia},
    month =      {December}
  }

@inproceedings{morrison2010:ACM-MM,	  
       author = { Donn Morrison and Eric Bruno and St{\'e}phane Marchand-Maillet},
       title = {TagCaptcha: Annotating images with CAPTCHAs},
       booktitle = { ACM MULTIMEDIA 2010 (Demo Program)},
       url = {http://viper.unige.ch/documents/pdf/morrison2010-tagcaptcha.pdf},
       address = {Firenze, Italy},
       month = {October 25}, 
       year = {2010},
  } 
  @inproceedings{szekely2009:TopLearn,      
       vgclass = {refpap},
       vgproject = {viper},
       author = { Eniko Szekely and Eric Bruno and St{\'e}phane Marchand-Maillet},
       title = {Distance Transformation for Effective Dimension Reduction of High-Dimensional Data},
       booktitle = { 1st International Workshop on Topological Learning (in conjunction with the 18th International Symposium on Methodologies for Intelligent Systems)},
       url = {http://viper.unige.ch/documents/pdf/szekely2009-topolearning.pdf},
       address = {Prague, Czech Republic},
       month = {September 14}, 
       year = {2009},
  }

  @inproceedings{szekely2009:Kdir,	  
       vgclass = {refpap},
       vgproject = {viper},
       author = { Eniko Szekely and Eric Bruno and St{\'e}phane Marchand-Maillet},
       title = {Unsupervised Discriminant Embedding in Cluster Spaces},
       booktitle = {International Conference on Knowledge Discovery and Information Retrieval (KDIR'09)},
       address = {Madeira, Portugal},
       url = {http://viper.unige.ch/documents/pdf/szekely2009-kdir.pdf},
       month = {October 6-8}, 
       year = {2009},
  }

@inproceedings{morrison2009:hcomp,
	author = {Morrison, Donn and Marchand-Maillet, St\'ephane and Bruno, Eric},
	title = {TagCaptcha: Annotating images with CAPTCHAs},
	booktitle = {Proceedings of the Human Computation Workshop (HCOMP2009) - co-located with ACM-KDD 2009},
	year = {2009},
	address = {Paris, FR},
	month = {June 28th},
	url = {http://viper.unige.ch/documents/pdf/morrison2009-hcomp.pdf}
  }

@inproceedings{bruno2009:sigir,
  author = { Bruno, Eric and Marchand-Maillet, St\'ephane},
  title = { Multiview clustering: a late fusion approach using latent models },
  booktitle = {Proceedings of the 32nd ACM Special Interest Group on Information Retrieval Conference, SIGIR 09 },
  year = {2009},
  url = {http://viper.unige.ch/documents/pdf/bruno2009-sigir.pdf},
  address = { Boston, USA }
}
   

@inproceedings{morrison2009:ecirws,
	author = {Morrison, Donn and Marchand-Maillet, St\'ephane and Bruno, Eric},
	title = {Modelling long-term relevance feedback},
	booktitle = {Proceedings of the ECIR Workshop on Information Retrieval over Social Networks},
	year = {2009},
	address = {Toulouse, FR},
	month = {April 6th},
	url = {http://viper.unige.ch/documents/pdf/morrison2009-ecirws.pdf}
  }

   @inproceedings{marchand2009:wiamis,
	author = {Stéphane Marchand-Maillet and Eniko Szekely, and Eric Bruno},
	title = {Optimizing Strategies for the Exploration of Social-Networks and Associated Data Collections},
	booktitle = {Proceedings of the International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS'09) - Special session on "People, Pixels, Peers: Interactive Content in Social Networks"},
	year = {2009},
	url = {http://viper.unige.ch/documents/pdf/marchand2009_wiamis.pdf},
	address = {London, UK},
        note = {(invited)}
  }

   @inproceedings{kludas2008:ipta,
	author = {Kludas, Jana and Marchand-Maillet, St\'ephane and Bruno, Eric},
	title = {Exploiting document feature interactions for efficient information fusion in high dimensional spaces},
	booktitle = {Proceedings of the First International Workshops on Image Processing Theory, Tools and Applications (IPTA'2008)},
	year = {2008},
	address = {Sousse, Tunisia},
	month = {November},
        note = {(invited)},
	url = {http://viper.unige.ch/documents/pdf/kludas2008-ipta.pdf}
  }

   @inproceedings{morrison2008:cbmi,
	author = {Morrison, Donn and Marchand-Maillet, St\'ephane and Bruno, Eric},
	title = {Semantic clustering of images using patterns of relevance feedback},
	booktitle = {Proceedings of the 6th International Workshop on Content-based Multimedia
	Indexing (CBMI'2008)},
	year = {2008},
	address = {London, UK},
	month = {June 18-20th},
	url = {http://viper.unige.ch/documents/pdf/morrison2008-cbmi.pdf}
  }

   @inproceedings{kludas2008:gfkl,
	author = {Jana Kludas and Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Exploiting Synergistic and Redundant Features for Multimedia Document Classification},
	booktitle = {32nd Annual Conference of the German Classification Society - Advances in Data Analysis, Data Handling and Business Intelligence (GfKl 2008)},
	year = 2008,
	address = {Hamburg, Germany},
	url = {http://viper.unige.ch/documents/pdf/kludas2008-gfkl.pdf}
  }

 @inproceedings{Kludas2008:mmiu,
	author = {Jana Kludas and Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Can Feature Information Interaction help for Information Fusion in Multimedia Problems?},
	booktitle = {First International Workshop on Metadata Mining for Image Understanding},
	pages = {23--33},
	year = 2008,
	url = {http://cvml.unige.ch/publications/postscript/2008/KludasBrunoMarchand_Madeira_2008.pdf},
	address = {Funchal, Madeira},
	url = {http://viper.unige.ch/documents/pdf/kludas2008-mmiu.pdf}
  }


  @inproceedings{szekely2007:ictir,
	author = {Eniko Szekely and Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Clustered multidimensional scaling for exploration in information
	retrieval},
	booktitle = {1st International Conference on the Theory of Information Retrieval
	(ICTIR'07)},
	pages = {95-104},
	year = {2007},
	address = {Budapest, Hungary},
	month = {October 18-20},
	url = {http://viper.unige.ch/documents/pdf/szekely2007-ictir.pdf}
  }

  @inproceedings{morrison07:samt,
	author = {Morrison, Donn and Marchand-Maillet, St\'ephane and Bruno, Eric},
	title = {Hierarchical long-term learning for automatic image annotation},
	booktitle = {Proceedings 2nd International Conference on Semantic and Digital
	Media Technologies},
	year = {2007},
	address = {Genova, Italy},
	month = {December 5-7},
	url = {http://viper.unige.ch/documents/pdf/morrison2007-samt.pdf}
  }

  @inproceedings{morrison07:amr,
	author = {Morrison, Donn and Marchand-Maillet, St\'ephane and Bruno, Eric},
	title = {Automatic image annotation with relevance feedback and latent semantic
	analysis},
	booktitle = {Proceedings 5th International Workshop on Adaptive Multimedia Retrieval},
	year = {2007},
	address = {Paris, France},
	month = {July 5-6},
	url = {http://viper.unige.ch/documents/pdf/morrison2007-amr.pdf}
  }

  @inproceedings{Kludas:AMR07:IFMIR,
	author = {Jana Kludas and Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Information Fusion in Multimedia Information Retrieval},
	booktitle = {Proceedings of 5th international Workshop on Adaptive Multimedia Retrieval (AMR)},
	year = 2007,
	address = {Paris, France},
	month = {July 5-6},
	abstract = {In retrieval, indexing and classification of multimedia data an efficientinformation
	fusion of the different modalities is essential for thesystem's overall
	performance. Since information fusion, its influencefactors and performance
	improvement boundaries have been lively dis-cussed in the last years
	in different research communities, we willreview their latest findings.
	They most importantly point out thatexploiting the feature's and
	modality's dependencies will yield tomaximal performance. In data
	analysis and fusion tests with annotatedimage collections this is
	undermined.},
	url = {http://viper.unige.ch/documents/pdf/kludas2007-amr.pdf}
  }

  @inproceedings{Kludas:FDIA07:MRCWC,
	author = {Jana Kludas},
	title = {Multimedia Retrieval and Classification for Web Content},
	booktitle = {Proceedings of BCS IRSG Symposium: Future Directions in InformationAccess
	(FDIA)},
	year = {2007},
	address = {Glasgow, Scotland},
	month = {August 28-29},
	abstract = {*The population of the World Wide Web with media of all types suchas
	texts, images, videos and audio files in recent years raised theattractiveness
	of multimedia retrieval. With our work on the influenceof dependencies
	between modalities and features we investigate whythese approaches
	still do not perform convincingly better than plaintext search approaches
	when applied to large, noisy collections likeweb content, even though
	these approaches have more information attheir hands. This article
	suggests that, due to the size and noise,the modality’s dependencies
	necessary for efficient information fusionbecomes small and hard
	to exploit. Preliminary experiments with twomulti modal collections
	underpin this statement.*},
	url = {http://viper.unige.ch/documents/pdf/kludas2007-fdia.pdf}
  }

  @inproceedings{Bruno2007,
	author = {Eric Bruno and Jana Kludas and St\'ephane Marchand-Maillet},
	title = {Combining Multimodal Preferences for Multimedia Information Retrieval},
	booktitle = {Proc. of International Workshop on Multimedia Information Retrieval},
	year = {2007},
	address = {Augsburg, Germany},
	month = {September},
	url = {http://viper.unige.ch/documents/pdf/bruno2007-mir.pdf}
  }

  @inproceedings{marchand2006:mir,
	author = {St\'ephane Marchand-Maillet and Marcel Worring},
	title = {Benchmarking image and video retrieval: an overview},
	booktitle = {Proc. of the Workshop on Multimedia Information Retrieval},
	pages = {297-300},
	year = 2006,
	address = {Santa Barbara, CA},
        url = {http://viper.unige.ch/documents/pdf/marchand2006-mir.pdf},
  }

  @inproceedings{Bruno2006,
	author = {Eric Bruno and Nicolas Mo{\"e}nne-Loccoz and St\'ephane Marchand-Maillet},
	title = {Asymmetric Learning and Dissimilarity Spaces for Content-based Retrieval},
	booktitle = {Proc. of International Conference on Image and Video Retrieval (CIVR)},
	pages = {330-339},
	year = 2006,
	address = {Tempe, AZ},
	month = {July},
	url = {http://viper.unige.ch/documents/pdf/bruno2006-civr.pdf}
  }

  @inproceedings{VG:Kosinov06dual,
	author = {Serhiy Kosinov and St{\'e}phane Marchand-Maillet and Igor Kozintsev and Carole Dulong and Thierry Pun},
	title = {Dual diffusion model of spreading activation for content-based imageretrieval},
	booktitle = {8th ACM SIGMM International Workshop on Multimedia Information Retrieval},
	year = 2006,
	address = {Santa Barbara, CA, USA},
	month = {October},
	url = {http://viper.unige.ch/documents/pdf/kosinov2006-mir.pdf}
  }

  @inproceedings{VG:Kosinov06visual,
	author = {Serhiy Kosinov and St\'ephane Marchand-Maillet},
	title = {Visual object categorization with indefinite kernels in discriminantanalysis
	framework},
	booktitle = {Proceedings of SPIE Photonics West, Electronic Imaging 2006, MultimediaContent
	Analysis, Management, and Retrieval 2006 (EI122)},
	year = {2006},
	address = {San Jose, USA},
	month = {January, 15-19},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

@inproceedings {janvier2006:spie,
    author = { Bruno Janvier and Eric Bruno and St{\'e}phane Marchand Maillet and Thierry Pun },
    title = { Performance evaluation of a contextual news story segmentation algorithm },
    booktitle = { Proc. SPIE Vol. 6073, 60730X, Multimedia Content Analysis, Management, and Retrieval },
    year = { 2006 },
    volume = { 6073 },
    address = { San Jose, CA },
    month = { January },
    editors = { Edward Y. Chang, Alan Hanjalic, Nicu Sebe },
    url = {http://viper.unige.ch/documents/pdf/janivier2006-spie.pdf}
}

  @inproceedings{moennen:2005:ICIP,
	author = {Nicolas Mo{\"e}nne-Loccoz and Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Interactive Partial Matching of Video Sequences in Large Collections},
	booktitle = {{IEEE} International Conference on Image Processing},
	year = {2005},
	address = {Genova, Italy},
	month = {11-14 September},
	note = {accepted},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{bruno2005:amr,
	author = {Eric Bruno and Nicolas Mo{\"e}nne-Loccoz and St{\'e}phane Marchand-Maillet},
	title = {Learning User Queries in Multimodal Dissimilarity Spaces},
	booktitle = {Proceedings of the 3rd International Workshop on Adaptive MultimediaRetrieval, AMR'05},
	year = 2005,
	address = {Glasgow, UK},
	month = {July},
	url = {http://viper.unige.ch/documents/pdf/bruno2005-amr.pdf},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{nml_amr05,
	author = {Nicolas Mo{\"e}nne-Loccoz and Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Interactive Retrieval of Video Sequences from Local Feature Dynamics},
	booktitle = {Proceedings of the 3rd International Workshop on Adaptive MultimediaRetrieval, AMR'05},
	year = 2005,
	address = {Glasgow, UK},
	month = {July},
	owner = {steph},
	timestamp = {2008.05.04}
  }

  @inproceedings{VG:SMM04collection,
	author = {St{\'e}phane Marchand-Maillet and Eric Bruno},
	title = {Collection Guiding: A new framework for handling large multimediacollections},
	booktitle = {Proceedings of the First Workshop on Audio-visual Content And InformationVisualization
	In Digital Librairies, {AVIVDiLib05}},
	year = {2005},
	address = {Cortona, Italy},
        url = {http://viper.unige.ch/documents/pdf/marchand2005-avivdilib.pdf}
  }

  @inproceedings{VG:Kosinov05large,
	author = {Serhiy Kosinov and Ivan Titov and St{\'e}phane Marchand-Maillet},
	title = {Large Margin Multiple Hyperplane Classification for Content-based Multimedia Retrieval},
	booktitle = {Proceedings of the 1st Workshop on Machine Learning Techniques for Processing Multimedia Content, {MLMM'05}},
	year = 2005,
	address = {Bonn, Germany},
	month = {August}
  }

  @inproceedings{VG:Kosinov05countering,
	author = {Serhiy Kosinov and St\'ephane Marchand-Maillet and Thierry Pun},
	title = {Countering the false positive projection effect in nonlinear asymmetricclassification},
	booktitle = {The IEEE Symposium on Signal Processing and Information Technology(ISSPIT'05)},
	year = {2005},
	address = {Athens, Greece},
	month = {December, 18-21},
       url = {http://viper.unige.ch/documents/pdf/kosinov2005-isspit.pdf},
  }

  @inproceedings{janvier2005:eusipco,
	author = {Bruno Janvier and Eric Bruno and St\'ephane Marchand-Maillet and Thierry Pun},
	title = {A contextual model for semantic video structuring},
	booktitle = {Proceedings of the 13th European Signal Processing Conference (Eusipco2005)},
	year = 2005,
	address = {Antalya, Turkey},
	month = {September 4-8},
	url = {http://viper.unige.ch/documents/pdf/janvier2005-eusipco.pdf}
  }

  @inproceedings{bruno2005:mlmm,
	author = {Eric Bruno and Nicolas Mo{\"e}nne-Loccoz and St{\'e}phane Marchand-Maillet},
	title = {Interactive Video Retrieval based on Multimodal Dissimilarity Representation},
	booktitle = {Proceedings of the Machine Learning Techniques for Processing Multimedia Content- ICML workshop, MLMM'05},
	year = 2005,
	address = {Bonn, Germany},
	month = {August},
	url = {http://viper.unige.ch/documents/pdf/bruno2005-mlmm.pdf}
  }

  @inproceedings{BJanvier:MLMI2005,
	author = {Bruno Janvier and St{\'e}phane Marchand-Maillet and Eric Bruno
	and Thierry Pun},
	title = {Semantic segmentation of video collections using boosted random fields},
	booktitle = {Proceedings of the 2005 second Workshop on Machine Learning and MultimodalInteraction,
	{MLMI'05}},
	year = {2005},
	address = {Edinburgh, UK},
	month = {July},
        url = {http://viper.unige.ch/documents/pdf/janvier2005-mlmi.pdf}
  }

  @inproceedings{VG:Pallotta04towards,
	author = {Vincenzo Pallotta and Afzal Ballim and St{\'e}phane Marchand-Maillet and Agnes Lisowska},
	title = {Towards Meeting Information Sytems: Meeting Knowledge Management},
	booktitle = {Proceedings of the International Conference on Enterprise InformationSytems {(ICEIS 04)}},
	year = 2004,
	address = {Porto, Portugal},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Muller04benchmarking,
	author = {Henning Muller and Antoine Geissbuhler and St{\'e}phane Marchand-Maillet and Paul Clough},
	title = {Benchmarking Image Retrieval Applications},
	booktitle = {Proceedings of the 7th Internatinoal Conference on VISual InformationSystems {(VIS'2004)}},
	year = 2004,
	address = {San Francisco, USA},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MoenneLoccoz04managing,
	author = {Nicolas Mo{\"e}nne-Loccoz and Bruno Janvier and Eric Bruno  and St{\'e}phane Marchand-Maillet},
	title = {Managing Video at Large},
	booktitle = {Proceedings of the ACM SIGMOD Workshop on Computer Vision meets Databases},
	year = 2004,
	address = {Paris, France},
 	url = {http://viper.unige.ch/documents/pdf/moenneloccoz2004-cvdb.pdf}
 }

  @inproceedings{VG:MoenneLoccoz04integrating,
	author = {Nicolas Mo{\"e}nne-Loccoz and Bruno Janvier and St{\'e}phane Marchand-Maillet and Eric Bruno},
	title = {An Integrating Framework for the Management of Video Collections},
	booktitle = {Proceedings of the 2004 First Workshop on Machine Learning and MultimodalInteraction, {MLMI'04}},
	year = 2004,
	series = {Lecture Notes in Computer Science 3361},
	address = {Martigny, Switzerland},
	month = {June},
	url = {http://viper.unige.ch/documents/pdf/moenneloccoz2004-mlmi.pdf}
  }

  @inproceedings{VG:MoenneLoccoz04video,
	author = {Nicolas Mo{\"e}nne-Loccoz and Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Video Content Representation as Salient Regions of Activity},
	booktitle = {Proceedings of the International Conference on Image and Video Retrieval},
	year = {2004},
	address = {Dublin, Ireland},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:jelmini2004,
	author = {Carlo Jelmini and St{\'e}phane Marchand-Maillet},
	title = {OWL-based reasoning with retractable inference},
	booktitle = {Proceedings of {RIAO} 2004, Conference on coupling approaches, couplingmedia
	and coupling languages for information retrieval},
	year = {2004},
	address = {Avignon, France},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Kosinov04evaluation,
	author = {Serhiy Kosinov and St{\'e}phane Marchand-Maillet},
	title = {Evaluation of distance-based discriminant analysis and its kernelizedextension
	in visual object recognition},
	booktitle = {Proceedings of the 7th International on signal/image processing andpattern
	recognition ({UkrObraz} 2004)},
	year = {2004},
	address = {Kijiv, Ukraine},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Kosinov04hierarchical,
	author = {Serhiy Kosinov and St{\'e}phane Marchand-Maillet},
	title = {Hierarchical Ensemble Learning For Multimedia Categorization AndAutoannotation},
	booktitle = {Proceedings of the 2004 {IEEE} Signal Processing Society Workshop({MLSP}
	2004)},
	pages = {645--654},
	year = {2004},
	address = {S\~{a}o Lu{\'i}s, Brazil},
	url = {http://viper.unige.ch/documents/pdf/kosinov2004-mlsp.pdf},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Kosinov04multimedia,
	author = {Serhiy Kosinov and St{\'e}phane Marchand-Maillet},
	title = {Multimedia autoannotation via hierarchical semantic ensembles},
	booktitle = {Proceedings of the Int. Workshop on Learning for Adaptable VisualSystems
	({LAVS} 2004)},
	year = {2004},
	address = {Cambridge, UK},
        url = {http://viper.unige.ch/documents/pdf/kosinov2004-lavs.pdf}
  }

  @inproceedings{Kosinov04iterative,
	author = {Serhiy Kosinov and St{\'e}phane Marchand-Maillet and Thierry Pun},
	title = {Iterative majorization approach to the distance-based discriminantanalysis},
	booktitle = {Proceedings of the 28th Annual Conference of the {GfKl} 2004},
	year = {2004},
	address = {Dortmund, Germany},
	month = {March 9--11},
	url = {http://viper.unige.ch/documents/pdf/kosinov2004-gfkl.pdf}
  }

  @inproceedings{Kosinov04visual,
	author = {Serhiy Kosinov and St{\'e}phane Marchand-Maillet and Thierry Pun},
	title = {Visual object categorization using distance-based discriminant analysis},
	booktitle = {Proceedings of the 4th International Workshop on Multimedia Data and Document Engineering},
	year = 2004,
	address = {Washington, DC},
	month = {July},
	url = {http://viper.unige.ch/documents/pdf/kosinov2004-mdde.pdf},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:CBMI03c,
	author = {Henning M{\"u}ller and Antoine Geissbuhler and St{\'e}phane Marchand-Maillet},
	title = {Extension to the Multimedia Retrieval Markup Language: A communicationprotocol for content-based image retrieval},
	booktitle = {Proceedings of the 3rd International Workshop on Content-Based MultimediaIndexing, CBMI'03},
	year = 2003,
	address = {Rennes, France},
	month = {September},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:IJMTA03,
	author = {Henning M{\"u}ller and Wolfgang M{\"u}ller and St{\'e}phane Marchand-Maillet and David McG. Squire and Thierry Pun},
	title = {A framework for benchmarking in visual information retrieval},
	booktitle = {Int. Journal on Multimedia Tools and Applications (Kluwer), SpecialIssue on Multimedia Information Retrieval},
	pages = {55-73},
	year = 2003,
	volume = {21},
	number = 2,
	url = {http://vision.unige.ch/publications/postscript/2003/},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2003/},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{Kosinov03overview,
	author = {Serhiy Kosinov and St{\'e}phane Marchand-Maillet},
	title = {Overview of approaches to semantic augmentation of multimedia databasesfor
	efficient access and content retrieval},
	booktitle = {Proceedings of the 1st International Workshop on Adaptive MultimediaRetrieval
	(AMR 2003)},
	year = {2003},
	address = {Hamburg},
	url = {http://www.springerlink.com/link.asp?id=uln4brc7t0xjejj2},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:BRUNO:CBMI03,
	author = {Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Nonlinear Temporal Modeling for Motion-based Video Overviewing},
	booktitle = {Proceedings of the 3rd International Workshop on Content-Based MultimediaIndexing, CBMI'03},
	year = 2003,
	address = {Rennes, France},
	month = {September},
	url = {http://viper.unige.ch/documents/pdf/bruno2003-cbmi.pdf}
  }

  @inproceedings{VG:BRUNO:GRETSI03,
	author = {Eric Bruno and St{\'e}phane Marchand-Maillet},
	title = {Pr{\'e}diction Temporelle de Descripteurs Visuels pour la Mesurede Similarit{\'e} entre Vid{\'e}os},
	booktitle = {Proceedings of the GRETSI'03},
	year = 2003,
	address = {Paris, France},
	month = {September},
	url = {http://viper.unige.ch/documents/pdf/bruno2003-gretsi.pdf}
  }

  @inproceedings{VG:JMM2003,
	author = {Carlo Jelmini and St{\'e}phane Marchand-Maillet},
	title = {{DEVA}: an extensible ontology-based annotation model for visualdocument
	collections},
	booktitle = {Proceedings of {SPIE} Photonics West, Electronic Imaging 2002, InternetImaging
	{IV}},
	year = {2003},
	editor = {R. Schettini and S. Santini Eds},
	address = {Santa Clara, CA, USA},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:LMM2002,
	author = {Tatiana Louchnikova and St{\'e}phane Marchand-Maillet},
	title = {Flexible Image Decomposition for Multimedia Indexing and Retrieval},
	booktitle = {Proceedings of {SPIE} Photonics West, Electronic Imaging 2002, InternetImaging
	{III}},
	year = {2002},
	editor = {G. Beretta and R. Schettini Eds},
	address = {San Jose, USA},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:PMM2002,
	author = {Thomas Pfund and St{\'e}phane Marchand-Maillet},
	title = {A Dynamic Multimedia Annotation Tool},
	booktitle = {Proccedings of {SPIE} Photonics West, Electronic Imaging 2002, InternetImaging
	{III}},
	year = {2002},
	editor = {G. Beretta and R. Schettini Eds},
	address = {San Jose, USA},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Mar2002,
	author = {St{\'e}phane Marchand-Maillet},
	title = {Construction of a Formal Multimedia Benchmark},
	booktitle = {Proceedings of the European Signal Processing Conference {(EUSIPCO2002)}},
	year = {2002},
	address = {Toulouse, France},
	month = {September},
	note = {(Invited paper)},
	abstract = {The global acceptance of the digital medium to carry information (inparticular
	over the WWW) makes common the use and development ofmultimedia information
	processing systems. This class of systemsis very wide and numerous
	instances are presented in the relevantliterature. A common scheme
	for such presentation mostly followsthe classical scheme of specification,
	development and test. However,in most cases, the evaluation of these
	systems is related to eachparticular system. Our aim here is to abstract
	the class of multimediasystems in order to present a base framework
	via which systems couldbe formally compared. This paper analyzes
	the construction of sucha multimedia benchmark by looking at the
	system from different anglesand inheriting from techniques in related
	fields. Examples of knownmultimedia system benchmarks are discussed.},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Mar2002a,
	author = {St{\'e}phane Marchand-Maillet},
	title = {{CBIR} in Geneva: Past, Present and Future},
	booktitle = {Meeting Content-Based Image and Video Retrieval (Dagstuhl seminar)-
	(Invited)},
	year = {2002},
	month = {Januray},
	note = {J. Malik (UC Berkeley, USA), H.-P. Kriegel (LMU M\"unchen, Germany),L.
	Shapiro (Univ. of Washington, USA), R. Veltkamp (Utrecht Univ.,The
	Netherlands) eds.},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {fullconf},
	vgproject = {viper}
  }

  @inproceedings{Bruno2002a,
	author = {Eric Bruno and D. Pellerin},
	title = {Video shot detection based on temporal linear prediction of motion},
	booktitle = {Proceedings of the IEEE International Conference on Multimedia andExposition (ICME)},
	year = 2002,
	address = {Lausanne, Switzerland},
	month = {August},
	url = {http://viper.unige.ch/documents/pdf/bruno2002-icme.pdf}
  }

  @inproceedings{Bruno2002,
	author = {Eric Bruno and Denis Pellerin},
	title = {Video structuring, indexing and retrieval based on global motionwavelet coefficients},
	booktitle = {Proceedings of International Conference of Pattern Recognition (ICPR)},
	year = 2002,
	address = {Quebec City, Canada},
	month = {August},
	url = {http://viper.unige.ch/documents/pdf/bruno2002-icpr.pdf}
  }

  @inproceedings{VG:MMP2002,
	author = {Henning M{\"u}ller and St{\'e}phane Marchand-Maillet and Thierry Pun},
	title = {The Truth About {C}orel -- Evaluation in Image Retrieval},
	booktitle = {Proceedings of The Challenge of Image and Video Retrieval {(CIVR2002)}},
	year = 2002,
	address = {London, UK},
	month = {July},
	note = {(to appear)},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:PVM2001a,
	author = {Shelby Pereira and Sviatoslav Voloshynovskiy and Maribel Madue{\~n}o and St{\'e}phane Marchand-Maillet and Thierry Pun},
	title = {Second generation benchmarking and application oriented evaluation},
	booktitle = {Information Hiding Workshop},
	year = 2001,
	address = {Pittsburgh, PA, USA},
	month = {apr},
	url = {http://vision.unige.ch/publications/postscript/2001/PereiraVoloshynovskiyMaduenoMarchandPun_ihw2001.pdf},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2001/PereiraVoloshynovskiyMaduenoMarchandPun_ihw2001.ps.gz},
	vgclass = {refpap},
	vgproject = {watermarking}
  }

  @inproceedings{VG:MLM2001,
	author = {St{\'e}phane Marchand-Maillet and Nadia Lasri and Henning M{\"u}ller and Wolfgang M{\"u}ller and Thierry Pun},
	title = {The Reality of Content-based Image Retrieval},
	booktitle = {Proceeding of the meeting Suchbilder},
	year = 2001,
	address = {Berlin, Germany},
	month = {February},
	note = {(to appear)},
	url = {http://www.suchbilder.de/},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {fullconf},
	vgproject = {viper}
  }

  @inproceedings{VG:PAAVBED01,
	author = {Eric Bruno and Nicolas Mo{\"e}nne-Loccoz and St{\'e}phane Marchand-Maillet},
	title = {Unsupervised Event Discrimination Based on Nonlinear Temporal Modellingof
	Activity},
	booktitle = {Pattern Analysis and Application {(PAA)}, special issue on VideoBased
	Event Detection, to appear},
	year = {2001},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MMMSP2001,
	author = {Henning M{\"u}ller and Wolfgang M{\"u}ller and St{\'e}phane Marchand-Maillet and David McG. Squire and Thierry Pun},
	title = {A Web-Based Evaluation System for Content-Based Image Retrieval},
	booktitle = {Proceedings of the {ACM} Multimedia Workshop on Multimedia InformationRetrieval {(ACM} {MIR} 2001)},
	pages = {50--54},
	year = 2001,
	address = {Ottawa, Canada},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MMS2001a,
	author = {Henning M{\"u}ller and Wolfgang M{\"u}ller and David McG. Squire and St{\'e}phane Marchand-Maillet and Thierry Pun},
	title = {Automated Benchmarking in Content-based Image Retrieval},
	booktitle = {Proceedings of the 2001 IEEE International Conference on Multimediaand Expo (ICME2001)},
	year = 2001,
	address = {Tokyo, Japan},
	month = {August},
	url = {http://www.giti.waseda.ac.jp/ICME2001/},
	abstract = {Benchmarking has always been a crucial problem in content-based imageretrieval
	(CBIR). A key issue is the lack of a common access methodto retrieval
	systems, such as SQL for relational databases. The MultimediaRetrieval
	Mark-up Language (MRML) solves this problem by standardizingaccess
	to CBIR systems (CBIRSs). Other difficult problems are alsoshortly
	addressed, such as obtaining relevance judgments and choosinga database
	for performance comparison. In this article we presenta fully automated
	benchmark for CBIRSs based on MRML, which can beadapted to any image
	database and almost any kind of relevance judgment.The test evaluates
	theperformance of positive and negative relevancefeedback, which
	can be generated automatically from the relevancejudgments. To illustrate
	our purpose, a freely available, non-copyrightimage collection is
	used to evaluate our CBIRS, Viper. All scriptsdescribed here are
	also freely available for download.},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Mar2001,
	author = {St{\'e}phane Marchand-Maillet},
	title = {Performance Evaluation in Content-Based Image Retrieval},
	booktitle = {Multimedia Content-Based Indexing and Retrieval {(MMCBIR} 2001)},
	year = {2001},
	address = {INRIA Rocquencourt, Paris, France},
	month = {September},
	note = {Invited contribution},
	abstract = {Content-based image retrieval (CBIR) has now reached a mature stage.Search
	techniques are well-categorized and several research prototypesor
	commercial products are available. However, CBIR true performanceis
	still difficult to quantify. Setting up a CBIR benchmark is aheavy
	task and can only be done via the collaboration of all partiesinvolved
	in the research and development of CBIR prototypes and relatedcommercial
	products. The Benchathlon effort proposes to create sucha context
	in which CBIR will be evaluated thoroughly and objectively.In this
	paper, we present the Benchathlon and its objectives in moredetails.
	The goal of CBIR benchmarking has been divided into variousparallel
	and inter-related sub-tasks. One essential such task isthe definition
	of ground truth data. Since no such data exists, theimage collection
	is to be constructed from scratch. Copyright issuesshould be resolved
	so as to be able to freely distribute, extendand modify this collection.
	Further, different sub-collections shouldbe available for different
	specialized applications. It is also acknowledgedhere that no unique
	ground truth exists. Techniques to account foruser subjectivity should
	therefore be developed. Considering theeffort involved, tools for
	easing the task of data annotation needalso to be designed. Related
	to this is the definition of objectivequantitative performance measures.
	These measures should be boththorough and orthogonal. In other words,
	they should allow for acomplete evaluation and highlight weaknesses
	and strengths of theCBIR system under evaluation. The goal being
	both to compare systemsand to help system developers to profile their
	techniques. To usethis data in practical evaluation, there is also
	the need for definingstandard test queries and result sets. Domain-specific
	constraintswill strongly influence the design of such test cases.
	Another aspectis the feasibility of CBIR benchmarking. This imposes
	the definitionof a flexible software architecture enabling automated
	benchmarkingwhile leading to little (optimally no) programming overhead.
	Again,legal issues about the openness of the systems under evaluation
	shouldbe accounted for. In our paper, we also shortly present the
	solutionsproposed by the Viper team at University of Geneva. These
	realizationsare gathered under the umbrella of our GIFT project where
	the centralfeature is the Multimedia Retrieval Markup Language (MRML),
	an XML-basedcommunication protocol that we think is a necessary tool
	for enablingCBIR benchmarking. We describe the architecture of our
	MRML-basedbenchmark and sketch results for the Viper search engine.},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MMS2000e,
	author = {Henning M{\"u}ller and Wolfgang M{\"u}ller and David McG. Squire and St{\'e}phane Marchand-Maillet and Thierry Pun},
	title = {Learning features weights from user behavior in Content-Based ImageRetrieval},
	booktitle = {ACM SIGKDD International Conference on Knowledge Discovery and DataMining (Workshop on Multimedia Data Mining MDM/KDD2000)},
	year = 2000,
	editor = {S.J. Simoff and O.R. Zaiane},
	address = {Boston, MA, USA},
	month = {aug 20-23},
	url = {http://vision.unige.ch/publications/postscript/2000/MuellerHMuellerWSquireMarchandPun_mdmkdd2000.ps.gz},
	abstract = {This article describes an algorithm for obtaining knowledge aboutthe
	importance of features from analyzing user log files of a content-basedimage
	retrieval system (CBIRS). The user log files from the usageof the
	\emph{Viper} web demonstration system a re analyzed over aperiod
	of four months. Within this period about 3500 accesses tothe system
	were made w ith almost 800 multiple image queries. Allthe actions
	of the users were logged in a file. The analysis onlyincludes multiple
	image queries of the system with positive and/ornegative input images,
	because only multiple image q ueries containenough information for
	the method described. Features frequentlypresent in images marked
	together positively in the same que ry stepget a higher weighting,
	whereas features present in one image markedpositively and an other
	image marked negatively in the same stepget a lower weighting. The
	\emph{Viper} system offers a very largenumber of simple features.
	This allows the creation of flexible featureweightings with high
	values for importan t and low values for lessimportant features.
	These weightings for features can of course differbetween collections
	and as well between users. The results are evaluatedwith an experiment
	using the relevance judgments of re al users ona database containing
	2500 images. The results of the system withlearned weights are compared
	to the system withou t the learned featureweights.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2000/MuellerHMuellerWSquireMarchandPun_mdmkdd2000.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MMS2000f,
	author = {Henning M{\"u}ller and Wolfgang M{\"u}ller and David McG. Squire and St{\'e}phane Marchand-Maillet and Thierry Pun},
	title = {Lernen von Merkmalsgewichtungen beim inhaltsbasierten Suchen in grossenBilddatenbanken (Content-based image retrieval)},
	booktitle = {Proceedings of the Fachwissenschaftlicher Informatik-Kongress},
	pages = {304--307},
	year = 2000,
	address = {Bad Schussenried, Germany},
	month = {oct},
	url = {http://vision.unige.ch/publications/postscript/2000/MuellerHMuellerWSquireMarchandPun_fik2000.ps.gz},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2000/MuellerHMuellerWSquireMarchandPun_fik2000.pdf},
	vgclass = {fullconf},
	vgproject = {viper}
  }

  @inproceedings{VG:MMS2000c,
	author = {Henning M{\"u}ller and Wolfgang M{\"u}ller and David McG. Squire and Zoran Pe\u{c}enovi\'{c} and St{\'e}phane Marchand-Maillet and Thierry Pun},
	title = {An Open Framework for Distributed Multimedia Retrieval},
	booktitle = {Recherche d'Informations Assist\'ee par Ordinateur (RIAO'2000) Computer-AssistedInformation Retrieval},
	pages = {701--712.},
	year = 2000,
	volume = {1},
	address = {Paris, France},
	month = {apr 12-14},
	url = {http://vision.unige.ch/publications/postscript/2000/MullerHMullerWSquirePecenovicMarchandPun_riao.ps.gz},
	abstract = {This article describes a framework for distributed multimedia retrievalwhich
	permits the connection of compliant user interfaces with avariety
	of multimedia retrieval engines via an open communicationprotocol,
	MRML (Multi Media Retrieval Markup Language). It allowsthe choice
	of image collection, feature set and query algorithm duringrun--time,
	permitting multiple users to query a system adapted totheir needs,
	using the query paradigm adapted to their problem suchas query by
	example (QBE), browsing queries, or query by annotation.User interaction
	is implemented over several levels and in diverseways. Relevance
	feedback is implemented using positive and negativeexample images
	that can be used for a best--match QBE query. In contrast,browsing
	methods try to approach the searched image by giving overviewsof
	the entire collection and by successive refinement. In additionto
	these query methods, Long term off line learning is implemented.It
	allows feature preferences per user, user domain or over all usersto
	be learned automatically. We present the Viper multimedia retrievalsystem
	as the core of the framework and an example of an MRML-compliantsearch
	engine. Viper uses techniques adapted from traditional informationretrieval
	(IR) to retrieve multimedia documents, thus benefitingfrom the many
	years of IR research. As a result, textual and visualfeatures are
	treated in the same way, facilitating true multimediaretrieval. The
	MRML protocol also allows other applications to makeuse of the search
	engnes. This can for example be used for the designof a benchmark
	test suite, querying several search engines in thesame way and comparing
	the results. This is motivated by the factthat the content--based
	image retrieval community really lacks sucha benchmark as it already
	exists in text retrieval.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2000/MullerHMullerWSquirePecenovicMarchandPun_riao.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MMM2000b,
	author = {Henning M{\"u}ller and Wolfgang M{\"u}ller and St{\'e}phane Marchand-Maillet and David McG. Squire},
	title = {Strategies for positive and negative relevance feedback in imageretrieval},
	booktitle = {Proceedings of the International Conference on Pattern Recognition(ICPR'2000)},
	pages = {1043-1046},
	year = 2000,
	editor = {A. Sanfeliu and J.J. Villanueva and M. Vanrell and R. Alquezar andJ.-O. Eklundh and Y. Aloimonos},
	volume = {1},
	series = {Computer Vision and Image Analysis},
	address = {Barcelona, Spain},
	month = {sep 3--8},
	url = {http://vision.unige.ch/publications/postscript/2000/MullerHMuellerWMarchandPunSquire_icpr2000.ps.gz},
	abstract = {Relevance feedback has been shown to be a very effective tool forenhancing
	retrieval results in text retrieval. In content-based imageretrieval
	it is more and more frequently used and very good resultshave been
	obtained. However, too much negative feedback may destroya query
	as good features get negative weightings. This paper comparesa variety
	of strategies for positive and negative feedback. The performanceevaluation
	of feedback algorithms is a hard problem. To solve this,we obtain
	judgments from several users and employ an automated feedbackscheme.
	We can then evaluate different techniques using the samejudgments.
	Using automated feedback, the ability of a system to adaptto the
	user s needs can be measured very effectively. Our study highlightsthe
	utility of negative feedback, especially over several feedbacksteps.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2000/MullerHMuellerWMarchandPunSquire_icpr2000.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MPM2000,
	author = {Wolfgang M{\"u}ller and Zoran Pe\u{c}enovi\'{c} and Henning M{\"u}ller and St{\'e}phane Marchand-Maillet and Thierry Pun and David McG. Squire and Arjen P. de Vries and Christoph Giess},
	title = {MRML: An Extensible Communication Protocol for Interoperability andBenchmarking of Multimedia Information Retrieval Systems},
	booktitle = {SPIE Photonics East - Voice, Video, and Data Communications},
	year = 2000,
	address = {Boston, MA, USA},
	month = {nov 5--8},
	url = {http://vision.unige.ch/publications/postscript/2000/MuellerWPecenovicMuellerHMarchandPunSquireDeVriesGiess_spie2000.ps.gz},
	abstract = {While in the area of relational databases interoperability is ensuredby
	common communication protocols (e.g. ODBC/JDBC using SQL), ContentBased
	Image Retrieval Systems (CBIRS) and other multimedia retrievalsystems
	are lacking both a common query language and a common communicationprotocol.
	Besides its obvious short term convenience, interoperabilityof systems
	is crucial for the exchange and analysis of user data.In this paper,
	we present and describe an extensible XML-based querymarkup language,
	called MRML (Multimedia Retrieval Markup Language).MRML is primarily
	designed so as to ensure interoperability betweendifferent content
	based multimedia retrieval systems. Further, MRMLallows researchers
	to preserve their freedom in extending their systemas needed. MRML
	encapsulates multimedia queries in a way that enablesmultimedia (MM)
	query languages, MM content descriptions, MM queryengines, and MM
	user interfaces to grow independently from each other,reaching a
	maximum of interoperability while ensuring a maximum offreedom for
	the developer. For benefiting from this, only a few simpledesign
	principles have to be respected when extending MRML for one'sprivate
	needs. The design of extensions within the MRML frameworkwill be
	described in detail in the paper. MRML has been implementedand tested
	for the CBIRS Viper, using the user interface SnakeCharmer.Both are
	under GNU Public License and can be downloaded at http://viper.unige.ch/download/},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2000/MuellerWPecenovicMuellerHMarchandPunSquireDeVriesGiess_spie2000.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }
@inproceedings{714438,
 author = {Eric Bruno and Denis Pellerin},
 title = {Global Motion Fourier Series Expansion for Video Indexing and Retrieval},
 booktitle = {VISUAL '00: Proceedings of the 4th International Conference on Advances in Visual Information Systems},
 year = {2000},
 isbn = {3-540-41177-1},
 pages = {327--337},
 publisher = {Springer-Verlag},
 address = {London, UK},
 }


@CONFERENCE{bruno_ispa01,
  author = {Eric Bruno and Denis Pellerin},
  title = {Global motion model based on \textsc{B}-spline wavelets : application to motion estimation and video indexing},
  booktitle = {Proc. of the 2nd
    Int. Symposium. on Image and Signal Processing and Analysis, ISPA'01},
  month = {June},
  year = {2001},
  volume = {},
  adress = {Pula, Croatia},
  pages = {},
  url = {http://vision.unige.ch/publications/postscript/2001/bruno_ispa.ps.gz}
}
  @inproceedings{VG:MMM2000d,
	author = {Wolfgang M{\"u}ller and Henning M{\"u}ller and St{\'e}phane Marchand-Maillet and Thierry Pun and David McG. Squire and Zoran Pe\u{c}enovi\'{c} and Christoph Giess and Arjen P. de Vries},
	title = {MRML: A communication protocol for content-based multimedia retrieval},
	booktitle = {Proposal, ISO/IEC JTC1/SC29/WG11, MPEG00/M6099, Int. Organiz. forStandardization, Coding of Moving Pictures and Associated Audio},
	year = 2000,
	address = {Geneva},
	month = {May 30 - June 2},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {fullconf},
	vgproject = {viper}
  }

  @inproceedings{VG:MMM2000a,
	author = {Wolfgang M{\"u}ller and Henning M{\"u}ller and St{\'e}phane Marchand-Maillet and Thierry Pun and David McG. Squire and Zoran Pe\u{c}enovi\'{c} and Christoph Giess and Arjen P. de Vries},
	title = {{MRML}: A Communication Protocol for Content-Based Image Retrieval},
	booktitle = {International Conference on Visual Information Systems (Visual 2000)},
	year = 2000,
	address = {Lyon, France},
	month = {nov 2--4},
	url = {http://vision.unige.ch/publications/postscript/2000/MuellerWMuellerHMarchandPunSquireGiessVries_visual2000.ps.gz},
	abstract = {In this paper we introduce and describe the Multimedia Retrieval MarkupLanguage
	(MRML). This XML-based markup language is the basis foran open communication
	protocol for content-based image retrievalsystems (CBIRSs). MRML
	was initially designed as a means of separatingCBIR engines from
	their user interfaces. It is, however, also extensibleas the basis
	for standardised performance evaluation procedures.Such a tool is
	essential for the formulation and implementation ofcommon benchmarks
	for CBIR. A common protocol can also bring newdynamics to the CBIR
	field --- it makes the development of new systemsfaster and more
	efficient, and opens the door of the CBIR researchfield to other
	disciplines such as Human-Computer Interaction. TheMRML specifications,
	as well as the first MRML-compliant applications,are freely available
	and are introduced in this paper.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2000/MuellerWMuellerHMarchandPunSquireGiessVries_visual2000.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MMM2000c,
	author = {Wolfgang M{\"u}ller and St{\'e}phane Marchand-Maillet and Henning M{\"u}ller and Thierry Pun},
	title = {Towards a fair benchmark for image browsers},
	booktitle = {SPIE Photonics East, Voice, Video, and Data Communications},
	year = 2000,
	address = {Boston, MA, USA},
	month = {nov 5--8},
	url = {http://vision.unige.ch/publications/postscript/2000/MuellerWMarchandMuellerHPun_spie2000.ps.gz},
	abstract = {The recent literature has shown that the principal difficulty in multimediaretrieval
	is the bridging of the "semantic gap" between the user'swishes and
	his ability to fomulate queries. This insight has spawnedtwo main
	directions of research: Query By Example (QBE) with relevancefeedback
	(i.e. learning to improve the result of a previsously formulatedquery)
	and the research in query formulation techniques, like browsingor
	query by sketch. Browsing techniques try to help the user in findinghis
	target image, or an image which is sufficiently close to thedesired
	result that it can be used in a subsequent QBE query. Fromthe feature
	space viewpoint, each browsing system tries to permitthe user to
	move consciously in feature space and eventually reachthe target
	image. How to provide this functionality to the user ispresently
	an open question. In fact even obtaining objective performanceevaluation
	and comparison of these browsing paradigms is difficult.We distinguish
	here between deterministic browsers, which try tooptimise the possibility
	for the user to learn how the system behaves,and stochastic browsers
	based on more sophisticated Monte-Carlo algorithmsthus sacrificing
	reproducibility to a better performance. Presently,these two browsing
	paradigms are practically incomparable, exceptby large scale user
	studies. This makes it infeasible for researchgroups to evaluate
	incremental improvement of browsing schemes. Moreover,automated benchmarks
	in the current literature simulate a user bya model derived directly
	from the distance measures used within thetested systems. Such a
	circular reference cannot provide a seriousalternative to real user
	tests. In this paper, we present an automaticbenchmark which uses
	user-annotated collections for simulating thesemantic gap, thus providing
	a means for automatic evaluation andcomparison of the different browsing
	paradigms. We use a very preciseannotation of few words together
	with a thesaurus to provide sufficientlysmooth behaviour of the annotation-based
	user model. We discuss thedesign and evaluation of this annotation
	as well as the implementationof the benchmark in an MRML-compliant
	script with pluggable moduleswhich allow testing of new interaction
	schemes (see http://www.mrml.net).},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/2000/MuellerWMarchandMuellerHPun_spie2000.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MSM1999b,
	author = {Wolfgang M{\"u}ller and David McG. Squire and Henning M{\"u}ller and Thierry Pun},
	title = {Hunting moving targets: an extension to {B}ayesian methods in multimediadatabases},
	booktitle = {Multimedia Storage and Archiving Systems IV (VV02)},
	year = 1999,
	volume = {3846},
	series = {SPIE Proceedings},
	address = {Boston, Massachusetts, USA},
	month = {20--22~September},
	keywords = {relevance feedback, query drift, target testing, Bayesian methods,user modelling},
	note = {(SPIE Symposium on Voice, Video and Data Communications)},
	url = {http://vision.unige.ch/publications/postscript/99/MuellerWSquireMuellerHPun_msasIV.ps.gz},
	abstract = {It has been widely recognised that the difference between the levelof
	abstraction of the formulation of a query (by example) and thatof
	the desired result (usually an image with certain semantics) callsfor
	the use of learning methods that try to bridge this gap. Cox\emph{et
	al.}~have proposed a Bayesian method to learn the user'spreferences
	during each query. Cox \emph{et al.}\'s system, \texttt{PicHunter},is
	designed for optimal performance when the user is searching fora
	fixed target image. The performance of the system was evaluatedusing
	target testing, which ranks systems according to the numberof interaction
	steps required to find the target, leading to simple,easily reproducible
	experiments. There are some aspects of imageretrieval, however, which
	are not captured by this measure. In particular,the possibility of
	query drift (i.e.~a moving target) is completelyignored. The algorithm
	proposed by Cox \emph{et al.}~does not copewell with a change of
	target at a late query stage, because it isassumed that user feedback
	is noisy, but consistent. In the caseof a moving target, however,
	the feedback is noisy \emph{and} inconsistentwith earlier feedback.
	In this paper we propose an enhanced Bayesianscheme which selectively
	forgets inconsistent user feedback, thusenabling both the program
	and the user to ``change their minds''.The effectiveness of this
	scheme is demonstrated in moving targettests on a database of heterogeneous
	real-world images.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/99/MuellerWSquireMuellerHPun_msasIV.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MSM1999d,
	author = {Henning M{\"u}ller and David McG. Squire and Wolfgang M{\"u}ller and Thierry Pun},
	title = {Content-based image retrieval, bildinhaltsbasiertes Suchen in gro{\ss}enBilddatenbanken},
	booktitle = {Informatiktage 99},
	year = 1999,
	address = {Bad Schussenried, Germany},
	month = {12--13~November},
	url = {http://vision.unige.ch/publications/postscript/99/MuellerHSquireMuellerWPun_it99.ps.gz},
	abstract = {Dieser Artikel beschreibt einen neuen Ansatz im Bereich des content-basedimage
	retrieval (CBIR), dem bildinhaltsbasierten Suchen in Bilddatenbankenin
	der Regel ohne Annotationen. Gegen\"uber den herk\"ommlichen meistvektorbasierten
	Verfahren werden hier Methoden des Text oder InformationRetrieval
	(IR) an die speziellen Bed\"urfnisse des Empfangs von Bildernangepasst.
	Benutzerexperimente belegen die Leistungsf\"ahigkeit undFlexibilit\"at
	des Verfahrens.}
  }

  @inproceedings{VG:SMM1999c,
	author = {David McG. Squire and Henning M{\"u}ller and Wolfgang M{\"u}ller},
	title = {Improving Response Time by Search Pruning in a Content-Based ImageRetrieval
	System, Using Inverted File Techniques},
	booktitle = {IEEE Workshop on Content-based Access of Image and Video Libraries(CBAIVL-99)},
	pages = {45--49},
	year = {1999},
	address = {Fort Collins, Colorado, USA},
	month = {22~June},
	url = {http://vision.unige.ch/publications/postscript/99/SquireMuellerMueller_cbaivl99.ps.gz},
	abstract = {This paper describes several methods for improving query evaluationspeed
	in a content-based image retrieval system (CBIRS). Responsetime is
	an extremely important factor in determining the usefulnessof any
	interactive system, as has been demonstrated by human factorsstudies
	over the past thirty years. In particular, response timesof less
	than one second are often specified as a usability requirement.It
	is shown that the use of inverted files facilitates the reductionof
	query evaluation time without significantly reducing the accuracyof
	the response. The performance of the system is evaluated usingprecision
	\vs recall graphs, which are an established evaluationmethod in information
	retrieval (IR), and are beginning to be usedby CBIR researchers.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/99/SquireMuellerMueller_cbaivl99.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:SMM1999a,
	author = {David McG. Squire and Wolfgang M{\"u}ller and Henning M{\"u}ller},
	title = {Relevance feedback and term weighting schemes for content-based imageretrieval},
	booktitle = {Third International Conference On Visual Information Systems},
	pages = {549--556},
	year = {1999},
	address = {Amsterdam, The Netherlands},
	month = {2--4~June},
	url = {http://vision.unige.ch/publications/postscript/99/SquireMuellerMueller_vis99.ps.gz},
	abstract = {This paper describes the application of techniques derived from textretrieval
	research to the content-based querying of image databases.Specifically,
	the use of inverted files, frequency-based weightsand relevance feedback
	are investigated. The use of inverted filesallows very large numbers
	($\geq \mathcal{O}(104)$) of \emph{possible}features to be used.
	since search is limited to the subspace spannedby the features present
	in the query image(s). A variety of weightingschemes used in text
	retrieval are employed, yielding different results.We suggest possibles
	modifications for their use with image databases.The use of relevance
	feedback was shown to improve the query resultssignificantly, as
	measured by precision and recall, for all users.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/99/SquireMuellerMueller_vis99.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:SMM1999,
	author = {David McG. Squire and Wolfgang M{\"u}ller and Henning M{\"u}ller and Jilali Raki},
	title = {Content-based query of image databases, inspirations from text retrieval:inverted files, frequency-based weights and relevance feedback},
	booktitle = {The 11th Scandinavian Conference on Image Analysis},
	pages = {143--149},
	year = 1999,
	address = {Kangerlussuaq, Greenland},
	month = {jun 7--11},
	url = {http://vision.unige.ch/publications/postscript/99/SquireMuellerMuellerRaki_scia99.ps.gz},
	abstract = {In this paper we report the application of techniques inspired bytext
	retrieval research to the content-based query of image databases.In
	particular, we show how the use of an inverted file data structurepermits
	the use of a feature space of $\mathcal{O}(104)$ dimensions,by restricting
	search to the subspace spanned by the features presentin the query.
	A suitably sparse set of colour and texture featuresis proposed.
	A scheme based on the frequency of occurrence of featuresin both
	individual images and in the whole collection provides ameans of
	weighting possibly incommensurate features in a compatiblemanner,
	and naturally extends to incorporate relevance feedback queries.The
	use of relevance feedback is shown consistently to improve systemperformance,
	as measured by precision and recall.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/99/SquireMuellerMuellerRaki_scia99.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:MSM1999c,
	author = {Henning M{\"u}ller and David McG. Squire and Wolfgang M{\"u}ller and Thierry Pun},
	title = {Efficient access methods for content-based image retrieval with invertedfiles},
	booktitle = {Multimedia Storage and Archiving Systems IV (VV02)},
	year = 1999,
	volume = {3846},
	series = {SPIE Proceedings},
	address = {Boston, Massachusetts, USA},
	month = {20--22~September},
	keywords = {inverted file, content-based image retrieval, efficient access, searchpruning, speed evaluation},
	note = {(SPIE Symposium on Voice, Video and Data Communications)},
	url = {http://vision.unige.ch/publications/postscript/99/MuellerHSquireMuellerWPun_msasIV.ps.gz},
	abstract = {As human factor studies over the last thirty years have shown, responsetime
	is a very important factor for the usability of an interactivesystem,
	especially on the world wide web. In particular, responsetimes of
	under one second are often specified as a usability requirement\cite{Nie97}.
	This paper compares several methods for improving theevaluation time
	in a content-based image retrieval system (CBIRS)which uses inverted
	file technology. The use of the inverted filetechnology facilitates
	search pruning in a variety of ways, as isshown in this paper. For
	large databases ($> 2000$ images) and ahigh number of possible features
	($> 80000$), efficient and fastaccess is necessary to allow interactive
	querying and browsing. Parallelaccess to the inverted file can reduce
	the response time. This parallelaccess is very easy to implement
	with little communication overhead,and thus scales well. Other search
	pruning methods, similar to methodsused in information retrieval,
	can also reduce the response timesignificantly without reducing the
	performance of the system. Theperformance of the system is evaluated
	using precision vs. recallgraphs, which are an established evaluation
	method in informationretrieval. A user survey was carried out in
	order to obtain relevancejudgments for the queries reported in this
	work.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/99/MuellerHSquireMuellerWPun_msasIV.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Squ1998b,
	author = {David McG. Squire},
	title = {Learning a similarity-based distance measure for image database organizationfrom
	human partitionings of an image set},
	booktitle = {Fourth IEEE Workshop on Applications of Computer Vision (WACV'98)},
	pages = {88--93},
	year = {1998},
	address = {Princeton, NJ, USA},
	month = {October},
	url = {http://vision.unige.ch/publications/postscript/98/Squire_wacv98.ps.gz},
	abstract = {In this paper we employ human judgments of image similarity to improvethe
	organization of an image database. We first derive a statistic,$\kappa_B$
	which measures the agreement between two partitioningsof an image
	set. $\kappa_B$ is used to assess agreement both amongstand between
	human and machine partitionings. This provides a rigorousmeans of
	choosing between competing image database organization systems,and
	of assessing the performance of such systems with respect tohuman
	judgments. Human partitionings of an image set are used todefine
	an similarity value based on the frequency with which imagesare judged
	to be similar. When this measure is used to partitionan image set
	using a clustering technique, the resultant partitioningagrees better
	with human partitionings than any of the feature-space-basedtechniques
	investigated. Finally, we investigate the use of multilayerperceptrons
	and a \emph{Distance Learning Network} to learn a mappingfrom feature
	space to this perceptual similarity space. The DistanceLearning Network
	is shown to learn a mapping which results in partitioningsin excellent
	agreement with those produced by human subjects.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/98/Squire_wacv98.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:Squ1998c,
	author = {David McG. Squire},
	title = {Using human partitionings of image sets to learn a similarity-baseddistance
	measure for the organization of image databases},
	booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
	pages = {80--88},
	year = {1998},
	volume = {3527},
	series = {SPIE Proceedings},
	address = {Boston, Massachusetts, USA},
	month = {November},
	keywords = {image databases, database organization, similarity, learning, agreement},
	note = {(SPIE Symposium on Voice, Video and Data Communications)},
	abstract = {In this paper our goal is to employ human judgments of image similarityto
	improve the organization of an image database for content-basedretrieval.
	We first derive a statistic, $\kappa_B$ for measuringthe agreement
	between two partitionings of an image set into unlabeledsubsets.
	This measure can be used both to measure the degree of agreementbetween
	pairs of human subjects, and also between human and machinepartitionings
	of an image set. It also allows a direct comparisonof database organizations,
	as opposed to the indirect measure availablevia precision and recall
	measurements. This provides a rigorous meansof selecting between
	competing image database organization systems,and assessing how close
	the performance of such systems is to thatwhich might be expected
	from a database organization done by hand.We then use the results
	of experiments in which human subjects areasked to partition a set
	of images into unlabeled subsets to definea similarity measure for
	pairs of images based on the frequency withwhich they were judged
	to be similar. We show that, when this measureis used to partition
	an image set using a clustering technique, theresultant clustering
	agrees better with those produced by human subjectsthan any of the
	feature space-based techniques investigated. Finally,we investigate
	the use of machine learning techniques to discovera mapping from
	a numerical feature space to this perceptual similarityspace. Such
	a mapping would allow the ground truth knowledge abstractedfrom the
	human judgments to be generalized to unseen images. We showthat a
	learning technique based on an extension of a Kohonen networkallows
	a similarity space to be learnt which results in partitioningsin
	excellent agreement with those produced by human subjects.},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:SqP1997,
	author = {David McG. Squire and Thierry Pun},
	title = {A Comparison of Human and Machine Assessments of Image Similarityfor
	the Organization of Image Databases},
	booktitle = {The 10th Scandinavian Conference on Image Analysis},
	pages = {51--58},
	year = {1997},
	editor = {Michael Frydrych and Jussi Parkkinen and Ari Visa},
	address = {Lappeenranta, Finland},
	month = {June},
	keywords = {image similarity, image database organization, agreement statistics,VG:SqP1997key},
	url = {http://vision.unige.ch/publications/postscript/97/SquirePun_scia97.ps.gz},
	abstract = {There has recently been a significant interest in the organizationand
	\emph{content-based} querying of large images databases. Mostfrequently,
	the underlying hypothesis is that image similarity canbe characterized
	by low-level image features, without further abstraction.This assumes
	that there is sufficient agreement between machine andhuman measures
	of image similarity for the database to be useful.We wish to assess
	the veracity of this assumption. To this end, wedevelop measures
	of the agreement between two partitionings of animage set; we show
	that it is vital to take chance agreements intoaccount. We then use
	these measures to assess the agreement betweenhuman subjects and
	a variety of machine clustering techniques ona set of images. The
	results can be used to select and refine imagedistance measures for
	querying and organizing image databases.},
	owner = {steph},
	timestamp = {2008.05.04},
	url1 = {http://vision.unige.ch/publications/postscript/97/SquirePun_scia97.pdf},
	vgclass = {refpap},
	vgproject = {viper}
  }

  @inproceedings{VG:RTS1996b,
	author = {Christian Rauber and Peter Tschudin and Serguei Startchik and Thierry Pun},
	title = {Archival and retrieval for large image databases: application to an historical watermarks archive},
	booktitle = {Objects Applications},
	pages = {19--26},
	year = 1996,
	editor = {D. Tsichritzis},
	publisher = {University of Geneva},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {report},
	vgproject = {cbir}
  }

  @inproceedings{VG:RTS1996,
	author = {Christian Rauber and Peter Tschudin and Serguei Startchik and Thierry Pun},
	title = {Archivage et recherche d'images de filigranes},
	booktitle = {CNED'96, 4\`eme Coll. National sur l'Ecrit et le Document},
	pages = {69--76},
	year = 1996,
	address = {Nantes, France},
	month = {July},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {cbir}
  }

  @inproceedings{VG:RTS1996a,
	author = {Christian Rauber and Peter Tschudin and Serguei Startchik and Thierry Pun},
	title = {Archival and retrieval of historical watermark images},
	booktitle = {ICIP'96, IEEE International Conference on Image Processing},
	pages = {773--776},
	year = 1996,
	volume = {2},
	address = {Lausanne, Switzerland},
	month = {September},
	note = {Special Session ``Images in Digital Libraries''},
	owner = {steph},
	timestamp = {2008.05.04},
	vgclass = {refpap},
	vgproject = {watermarking,cbir}
  }