New enhancements to cut, fade, and dissolve detection processes in video segmentation
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Video segmentation based on 2D image analysis
Pattern Recognition Letters - Special issue: Sibgrapi 2001
A New Shot Boundary Detection Algorithm
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
IDMS/PROMS 2002 Proceedings of the Joint International Workshops on Interactive Distributed Multimedia Systems and Protocols for Multimedia Systems: Protocols and Systems for Interactive Distributed Multimedia
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
Performance characterization of video-shot-change detection methods
IEEE Transactions on Circuits and Systems for Video Technology
Video partitioning by temporal slice coherency
IEEE Transactions on Circuits and Systems for Video Technology
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
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Accurate detection of shot transitions plays an important role on automatic analysis of digital video contents, and it is a key issue for video indexing and summarization, amongst other tasks. This work presents in more detail a novel strategy, based on the concept of visual rhythm, to automatically detect sharp transitions or cuts in arbitrary videos. The central part of the work is a comparative evaluation of this strategy versus three other very competitive approaches for video cut detection: one based on the visual rhythm concept, other based on pixel differentiation and a last one based on color histograms. The evaluation carried out demonstrated that the proposed method achieves, on average, higher recall rates at a cost of a slightly lower precision.