This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Semantic video adaptation allows to transmit video content with different viewing quality, depending on the relevance of the content from the user's viewpoint. To this end, a...
Marco Bertini, Alberto Del Bimbo, Rita Cucchiara, ...
Due to the repetitive and lengthy nature, automatic content-based summarization is essential to extract a more compact and interesting representation of sport video. State-of-the ...
The paper presents an MPEG-7 Multimedia Description Schemes (MDS)-based metadata and user profile model used within an enhanced DTV environment for semantic annotation and person...
Flexible and effective indexing of video data so as to render it useful in automated inference and datadriven knowledge acquisition is a key problem in knowledge engineering. In t...
Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honav...