Identifying highlights in multimedia content such as video and audio is currently a very difficult technical problem. We present and evaluate a novel algorithm that identifies hig...
The need to analyze and index large amounts of video information is becoming more important as the way people consume media continues to change. In recent years, the push to attac...
We describe a scheme to combine the results of audio and face identification for multimedia indexing and retrieval. Audio analysis consists of speech and speaker recognition deri...
Mahesh Viswanathan, Homayoon S. M. Beigi, Alain Tr...
During recent years, a new framework, which aims to bring a unified and global approach in indexing, browsing and querying various digital multimedia data such as audio, video and ...
Content based search in audio-visual collections requires media specific analysis for extracting low level features to be efficiently indexed and searched. We present the SAPIR ...
Walter Allasia, Fabrizio Falchi, Francesco Gallo, ...