Title :
A Novel Scene Change Detection Algorithm for H.264/AVC Bitstreams
Author :
Jie, Feng ; Aiai, Huang ; Yaowu, Chen
Author_Institution :
Inst. of Adv. Digital Technol. & Instrum., Zhejiang Univ., Hangzhou, China
Abstract :
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.
Keywords :
data compression; feature extraction; statistical analysis; video coding; H.264/AVC bitstreams; adaptive threshold; bit allocation; compressed domain; gradual scene changes; intermode macroblocks; intramode macroblocks; scene change detection; skip mode macroblocks; statistical features; Automatic voltage control; Bit rate; Change detection algorithms; Conferences; Decoding; Detection algorithms; Histograms; Image coding; Layout; Video compression; Adaptive threshold; H.264/AVC; Scene change detection;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.246