DocumentCode
481773
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
Volume
1
fYear
2008
fDate
19-20 Dec. 2008
Firstpage
712
Lastpage
716
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3490-9
Type
conf
DOI
10.1109/PACIIA.2008.246
Filename
4756653
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