The SAMoVA group focuses its Research activities on audiovisual content processing. More precisely, the research works are addressing three topics:

  • Structuring: most of the works on that topic aim at analyzing the way the information in an audio / video signal is organized. The goal is to localize segments at different temporal scale providing pieces of information for direct access to the content, or for summarization. In the scope of this topic are also included works aiming at comparing and evaluating similarity between contents in order to organize heterogeneous databases in collections for example.
  • Analysis: the research group develops methods for new types of feature extraction or exploitation. Those features are most of the time used as inputs for upper-level recognition or structuring tasks.
  • Modeling: for recognition tasks, multimedia objects (speakers, languages, human shapes, etc) have to be modelized though a set of parameters which have to be tuned by dedicated algorithms during a learning step or on-line, during the content analysis.