Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
In this paper, we present a novel scene change detection algorithm in the H.264/AVC compressed domain directly. Three major statistical features are used: (i) bit allocation for intra mode macroblocks (BIM), (ii) bit allocation for inter mode macroblocks (BPM), and (iii) the number of skip mode macroblocks in a frame. These features can be easily extracted from the H.264/AVC bitstreams. Besides the percent of skip macroblocks in a frame, an adaptive threshold based on the ratio of BIM to BPM is used to determine the abrupt and the gradual scene changes respectively. Experimental results indicate that the proposed algorithm achieves the good performance with a low computational complexity.
Scene change detection, Adaptive threshold, H.264/AVC
Feng Jie, Huang Aiai, Chen Yaowu, "A Novel Scene Change Detection Algorithm for H.264/AVC Bitstreams", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 712-716, 2008, doi:10.1109/PACIIA.2008.246