IMPACT: an interactive natural-motion-picture dedicated multimedia authoring system
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic partitioning of full-motion video
Multimedia Systems
Video parsing and browsing using compressed data
Multimedia Tools and Applications
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
Manipulation and compositing of MC-DCT compressed video
IEEE Journal on Selected Areas in Communications
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
Automatic Video Indexing Based on Shot Classification
AMCP '98 Proceedings of the First International Conference on Advanced Multimedia Content Processing
| Hi-index | 0.01 |
A cut detection technique using a likelihood ratio test for MPEG compressed video sequences is proposed. Automatic cut detection techniques are essential techniques to analyze video content. The conventional techniques calculate the similarities of two successive frames and determine cut points by comparing the similarities with a given threshold value. But the threshold value is determined heuristically. The new technique estimates likelihood functions from video samples and determines cut points by testing the hypothesis that two frames belong to the same shot. This technique makes it possible to calculate the optimum threshold value analytically. The experimental results show that the new technique gives the smallest probability of false negative for fixed probability offalse positive in comparison with the conventional techniques.