摘要

As an advanced video compression standard, H.264/AVC has been applied to various fields such as video surveillance, video conference, and wireless video communication. This paper presents a novel scene cut detection method in H.264/AVC baseline profile compression domain, which takes advantage of the available features from H.264/AVC bitstreams, including chroma prediction modes, motion vectors, macroblock types, and so on. Moreover, in this method, four new criterions used for scene cut detection have been proposed, i.e. the distribution difference of chroma prediction modes, the distribution difference of macroblock types, the accumulative motion amount, and the difference of motion vector angles. The thresholds of the criterions are mainly determined by the minimum error Bayesian decision. Experimental results show that the proposed method can detect the scene cuts at I-frames and P-frames correctly without the information of bi-directional prediction which is not available in H.264/AVC baseline profile.

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