Automatic partitioning of full-motion video
Multimedia Systems
Scene Change Detection Based on Audio and Video Content Analysis
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
IEEE Transactions on Multimedia
Novel error concealment method with adaptive prediction to the abrupt and gradual scene changes
IEEE Transactions on Multimedia
Adaptive scene-detection algorithm for VBR video stream
IEEE Transactions on Multimedia
Fast scene change detection for personal video recorder
IEEE Transactions on Consumer Electronics
A robust scene-change detection method for video segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
Shot boundary detection for H.264/AVC bitstreams with frames containing multiple types of slices
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Compressed-domain shot boundary detection for H.264/AVC using intra partitioning maps
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Temporal video segmentation on H.264/AVC compressed bitstreams
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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This paper presents a novel scene change detection method in H.264/AVC compression domain. We note that, comparing to previous MPEG compression methods, some unique compression schemes such as intra prediction, CAVLC etc. are adopted for H.264/AVC. Therefore, previous scene change detection methods for MPEG-1 or MPEG-2 are not directly applicable to the compressed bit stream of H.264/AVC. To solve this problem, we propose a novel scene change detection algorithm for H.264/AVC, which exploits intra prediction modes of macro block. Since our method requires a simple decoding of the prediction mode, it is quite fast. Also, the precision and recall for various video sequences and bit-rates turn out to be promising.