Automatic partitioning of full-motion video
Multimedia Systems
A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
PanoramaExcerpts: extracting and packing panoramas for video browsing
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
New enhancements to cut, fade, and dissolve detection processes in video segmentation
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Evaluation of automatic shot boundary detection on a large video test suite
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
Performance characterization of video-shot-change detection methods
IEEE Transactions on Circuits and Systems for Video Technology
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This letter presents an algorithm for detecting cross-fade scene changes in video carrying 3:2 or mixed film cadence. There are many existing methods for detecting gradual video transitions, but none of the current literature addresses the complication of film cadence. The differences between video and film capture and the mechanics of the telecine transfer process used to convert 24-Hz film to the main international television standards alter the temporal properties in a nonlinear way that makes cross-fades more difficult to detect with existing methods. An algorithm is proposed to address this problem.