An intelligent strategy for the automatic detection of highlights in tennis video recordings
Expert Systems with Applications: An International Journal
A general framework for automatic on-line replay detection in sports video
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Efficient temporal segmentation for sports programs with special cases
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Automatic and fast temporal segmentation for personalized news consuming
Information Systems Frontiers
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The performance of shot boundary detection algorithms using low level features can hardly fulfill the requirement of automatic sports video analysis, which is a promising module in personal video recorders. Two kinds of middle level features are proposed in this paper to effectively enhance the shot boundary detection. One kind of the features is extracted from the projection of the dominant color mask; the other kind is extracted from the reliable block-based motion vectors. These novel features, together with the region color histograms feature, are integrated into a unified model which employs support vector machines to detect both cuts and gradual transitions. Experiments on diversified soccer video sequences demonstrate that our scheme outperforms the existing algorithms and is quite competent for the targeted applications.