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research [2009/06/30 10:36] marchand |
research [2015/01/23 15:13] marchand |
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- | {{keywords>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}} | + | {{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). | + | {{ :demos:corelhdme.png?800 |Manifold Learning}} |
- | * Video retrieval | + | |
- | * Multimedia description and annotation | + | |
- | * Collection guide | + | |
- | * Image segmentation | + | |
- | * Content-based image 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. | + | We address several aspects of information processing, learning and mining: |
+ | * Data Mining | ||
+ | * Feature space analysis | ||
+ | * Information geometry models for Machine learning | ||
+ | * Interactive information visualisation | ||
+ | * Information retrieval | ||
- | A major part of our research is also dedicated to video information management. We work on several aspects including: | + | For more details, see our [[research:publications|publications]] and [[research:projects|projects]]... |
- | * Temporal segmentation | + | |
- | * Event-based indexing | + | |
- | * Content modelling and indexing | + | {{ :demos:starshape.png?500 | Information Visualisation}} |
- | * 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. | + |