Video handling based on structured information for hypermedia systems
International conference on Multimedia information systems '91
Projection detecting filter for video cut detection
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Automatic partitioning of full-motion video
Multimedia Systems
Content-Based Video Indexing and Retrieval
IEEE MultiMedia
Video tomography: an efficient method for camerawork extraction and motion analysis
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
IEEE Transactions on Circuits and Systems for Video Technology
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Digital video computing and organization are two important issues in multimedia systems, signal compression, and databases. The segmentation of the video into shots requires identification and indexing. This approach requires a suitable method for the automatic location of cut points in order to separate the shots in a video. Various changes may happen within a single shot such as those related to camera operations, object movements and flashes. Therefore, we propose a new cut detection technique, based on linear correlation coefficients of inter frame motion vectors, and a new video indexing method that uses motion vectors to identify video sequences. The index is based on the identification of discrete cut points and camera operations made possible by analyzing motion vectors. Experimental results applied to commercial video are presented and evaluated.