MRML: An Extensible Communication Protocol for Interoperability andBenchmarking of Multimedia Information Retrieval Systems

Bibtex entry :

@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 },
}
--

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