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