The SLIF project combines text-mining and image processing to extract structured information from biomedical literature. SLIF extracts images and their captions from published pap...
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
Annotating genes and their products with Gene Ontology codes is an important area of research. One approach for doing this is to use the information available about these genes in...
Texts are the media content primarily available on Web sites and applications. However, this heavy use of texts creates an accessibility barrier to those who cannot read fluently...
We investigate methods of segmenting, visualizing, and indexing presentation videos by both audio and visual data. The audio track is segmented by speaker, and augmented with key ...