Efficient indexing and retrieval of digital videos are important needs within instructional video databases. Semantic indexing for instructional videos can be achieved by combini...
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...
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...
In this paper, we propose new graph-based data structure and indexing to organize and retrieve video data. Several researches have shown that a graph can be a better candidate for...