A Novel Scene Change Detection Algorithm for H.264/AVC Bitstreams

被引:0
|
作者
Feng Jie [1 ]
Huang Aiai [1 ]
Chen Yaowu [1 ]
机构
[1] Zhejiang Univ, Inst Adv Digital Technol & Instrumentat, Hangzhou 310027, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 (Bleb, (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.
引用
收藏
页码:682 / 686
页数:5
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