@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}
}
bib/viper_conf.txt · Last modified: 2019/10/25 09:16 by marchand
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Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion