Vector quantization and signal compression
Vector quantization and signal compression
A fuzzy video content representation for video summarization and content-based retrieval
Signal Processing - Special issue on fuzzy logic in signal processing
A Spatiotemporal Motion Model for Video Summarization
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CNN NEWSROOM: A Digital Video News Magazine and Library
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
VideoZoom spatio-temporal video browser
IEEE Transactions on Multimedia
Non-sequential video content representation using temporal variation of feature vectors
IEEE Transactions on Consumer Electronics
Video visualization for compact presentation and fast browsing of pictorial content
IEEE Transactions on Circuits and Systems for Video Technology
An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis
IEEE Transactions on Circuits and Systems for Video Technology
Efficient summarization of stereoscopic video sequences
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, an interactive framework for efficient browsing and transmission of video sequences is presented, based on an optimal content-based video decomposition scheme. In particular each video file is analyzed to provide a multiscale structure of different "content resolution levels". This structure can be seen as a tree structure, each level of which corresponds to a particular content resolution, while the tree-nodes contain viewing elements, representing the visual content of a segment of the sequence. The multiscale optimal video organization is performed by minimizing a cross correlation criterion so that the most representative shots (key-shots) from a video sequence or frames (key-frames) from a video shot are extracted. Experimental results on real-life video sequences show that the proposed multiscale video organization technique enables users to detect content of interest much faster, compared to the conventional sequential video scanning method, and thus it leads to significant reduction of the viewed/transmitted information.