A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
Computer Vision
Object Level Frame Comparison for Video Shot Detection
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Gradual shot boundary detection using localized edge blocks
Multimedia Tools and Applications
Video Shot Detection Using Hidden Markov Models with Complementary Features
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
Novel automatic video cut detection technique using Gabor filtering
Computers and Electrical Engineering
Performance characterization of video-shot-change detection methods
IEEE Transactions on Circuits and Systems for Video Technology
An effective post-refinement method for shot boundary detection
IEEE Transactions on Circuits and Systems for Video Technology
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Video shot boundary detection has been an area of active research in recent years. It plays major role in digital video analysis domain: video compression, video indexing, video content based retrieval, video scene detection and video object tracking. This paper approaches the video cut transition detection based on the block wise histogram differences of the dominant color features in the HSV color space. Most of the cut identification techniques uses a thresholding operation to discriminate between the inter frame difference metrics values and thus identify the video breakpoints. An automatic threshold calculation algorithm is used for cut identification process. Experimental results show that the proposed method gives better results than the existing methods.