Multimedia data are usually complex, possibly combining multiple channels and time information to convey a message. It is highly dimensional, multimodal, and involves variability and distortion. TRANSFORM groups teams from France, Brazil and Chile to design and study different transformations of multimedia data that facilitates its manipulation. TRANSFORM focuses on transforming multimedia data into compact representations that are suited for indexing and retrieval purposes. We will design particularly transformations adapted to 3D-shapes, temporal data and multimodal data. The designed representations will be integrated into efficient indexing schemes for retrieval purposes. Targeted applications will include 3D-shapes indexing, discovery of audiovisually coherent fragments, of recurrence in speech data and multimodal content linking and navigation.
|Dates: January 2018 – December 2019
Contact: Simon Malinowski