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, ...
This paper addresses the problem of automatic detection of salient video segments for real-world applications such as corporate training based on associated speech transcriptions....
: Indexing video content is one of the most important problems in video databases. In this paper we present linear time and space algorithms for handling video metadata that repres...
Spyros Sioutas, Kostas Tsichlas, Bill Vassiliadis,...
This paper presents a new interaction technique for browsing large visual information bases in a collaborative environment. The ATELIER project deals with learning environments fo...
Abstract: Content based multimedia retrieval is an important topic in database systems. An emerging and challenging topic in this area is the content based search in video data. A ...