A Formal Model for Video Shot Segmentation and its Application via Animate Vision
Multimedia Tools and Applications
Method of Extract Changing Scene in Animation
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Concurrent transition and shot detection in football videos using fuzzy logic
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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There is an increasing need to extract key information automatically from video for the purposes of indexing, fast retrieval and scene analysis. To support this vision, reliable scene change detection algorithms must be developed. This paper describes a unified approach for scene change detection in uncompressed and MPEG-2 compressed video statistical properties of each image. An efficient algorithm is proposed to estimate the statistical features in compressed video without full frame decompression and used these features with the uncompressed domain algorithms to identify scene changes in compressed video. Proposed scheme aims at detecting abrupt transitions and gradual transitions in both uncompressed and MPEG-2 compressed video using a single framework. Results on video of various content types are reported and validated. Furthermore, results show that for uncompressed video the accuracy of the detected transition region is above 98% and above 95% for MPEG-2 compressed video