DocumentCode :
170456
Title :
Video shot boundary detection based on MB coding mode and SIFT features on H.264/AVC
Author :
Qingming Zhang
Author_Institution :
Sch. of Comput. Sci. & Technol., Southwest Univ. of Sci. & Technol., Mianyang, China
fYear :
2014
fDate :
16-18 May 2014
Firstpage :
299
Lastpage :
302
Abstract :
To segment video shot quickly and efficiently, a video shot boundary detection algorithm which combine Macro Block (MB) coding mode with Scale Invariant Feature Transform(SIFT) feature point matching is proposed in this paper. Firstly, the MB coding mode is extracted from H.264/AVC bit stream to calculate the intra coding MB ratio of a frame, according to intra coding MB ratio, some frames are selected out as candidate shot boundary frame; Secondly, the matching ratio of SIFT feature point matching of two consecutive candidate frames is calculated to exclude non-shot boundary frame and retain shot boundary frame. The experimental results indicate that proposed algorithm performs well on both cut and gradual shot boundary detection.
Keywords :
feature extraction; transforms; video coding; H.264/AVC bit stream; MB coding mode; SIFT features; feature point matching; macroblock coding mode; scale invariant feature transform; video shot boundary detection; Accuracy; Cameras; Encoding; Feature extraction; Image coding; Streaming media; Video coding; H.264/AVC; MB Coding Mode; SIFT; Shot Boundary Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
Type :
conf
DOI :
10.1109/PIC.2014.6972345
Filename :
6972345
Link To Document :
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