Automatic partitioning of full-motion video
Multimedia Systems
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
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
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Video partitioning is a key issue in video classification that facilitates the management of video resources. The video partitioning involves the detection of boundaries between uninterrupted segments (video shots). Shot boundaries can be classified into two categories, gradual transition and abrupt change. Detection of a gradual transition is considered to be difficult. Few methods have been reported for gradual transition detection. In this paper, a new approach called two Measures Two Thresholds (TMTT) is proposed. The method requires the use of two measures and consective frames with a smaller Threshold (Ts), possible shot boundaries are located. Then false boundaries are discarded by comparing their color ratio histogram with another threshold that is used to measure the similarity of content of the frames. The efficiency of TMTT is promising according to the analysis of some experimental results.