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research [2009/06/24 22:51] marchand |
research [2015/01/21 16:30] marchand |
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| - | {{keywords>information retrieval, content-based image retrieval, CBIR, CBR, CBVR, CBMR, CBMIR, information mining, video retrieval, evaluation, multimedia, affective, affect-based, emotion-based, retrieval, benchathlon, mrml, collection guide, image collection, multimodal fusion, visualisation, research, gift, recherche d'information, geneve, suisse, switzerland, semantic web knowledge base, SWKB, web semantique, RDF, OWL, XML, metadata, auto-annotation, description, classification, multimedia information management, multimodal information retrieval}} | + | {{keywords>information geometry content-based affective emotion information collection image video multimedia retrieval visualisation CBIR CBR CBVR CBMR CBMIR mining evaluation multimodal fusion research, gift recherche semantic SWKB RDF OWL XML metadata auto-annotation description classification large scale}} |
| - | We address several aspects of multimedia information processing and management (see associate publications). | + | We address several aspects of information processing, learning and mining: |
| - | * Video retrieval | + | * Data Mining |
| - | * Multimedia description and annotation | + | * Feature space analysis |
| - | * Collection guide | + | * Information geometry models for Machine learning |
| - | * Image segmentation | + | * Interactive nformation visualisation |
| - | * Content-based image retrieval | + | * Information retrieval |
| - | We have developed the GIFT, an open-source package for Content-based image retrieval (CBIR) using the Query-by-Example (QBE) paradigm. | + | |
| - | We have extensively worked on CBIR system evaluation, in close relationship with the Benchathlon Network. In this respect, the is a need for the existence of large annotated multimedia collections. This has led us to working on the problem of intelligent multimedia description, both from the knwoledge management and automated annotation viewpoints. | + | For more details, see our [[research:publications|publications]] and [[research:projects|projects]]... |
| - | + | ||
| - | A major part of our research is also dedicated to video information management. We work on several aspects including: | + | |
| - | * Temporal segmentation | + | |
| - | * Event-based indexing | + | |
| - | * Content modelling and indexing | + | |
| - | * Large-scale storage, access and retrieval | + | |
| - | We have developed the novel concept of collection guiding to manage multimedia collections with truly accounting for the fact that the collection exists. | + | |