Research Themes The research activity within the Multimedia Information Processing group is organized along two themes: Multimedia Indexing We are studying mechanisms to describe the content of multimedia information, with a special focus on the processing of audio-video sequences. These mechanisms span a whole range of domains, from content extraction based on recognition techniques, content understanding based on parsing and multimedia content description. Our focus is on developing models for the description of multimedia content. For example, we are working on the automatic parsing of TV news recordings, and on the automatic construction of video summaries. Information Retrieval and Filtering We are studying mechanisms to automatically direct multimedia information to the right users. This includes several problems, from the description of the multimedia information content, the definition of user profiles, and the matching between document content and users. In particular, we are studying collaborative filtering techniques, which predict the importance of an information for a specific user based on previous evaluations of other users. An application of this technique is the Active Web Museum, which personalizes the visit of a user based on his personal preferences, and the opinion of previous visitors. Current Projects Past Projects | |
