Video Shot Boundary Detection: An efficient and an accurate approach based on Gabor Moments

被引：0
|
作者：
Shekar, B. H. [1 ]
Holla, K. Raghurama [1 ]
Kumari, M. Sharmila [2 ]
机构：
[1] Mangalore Univ, Dept Comp Sci, Mangalore, Karnataka, India
[2] PA Coll Engn, Dept Comp Sci & Engn, Mangalore, Karnataka, India
来源：
2013 FOURTH NATIONAL CONFERENCE ON COMPUTER VISION, PATTERN RECOGNITION, IMAGE PROCESSING AND GRAPHICS (NCVPRIPG) | 2013年
关键词：
Gabor moments; Shot boundary detection; Video segmentation; SEGMENTATION;
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, video shot boundary detection method based on Gabor moments is proposed. Each video frame is convolved with six 2-D Gabor filters corresponding to six different orientations, and the first and second moments of these convolved images are obtained, generating twelve dimensional feature vector. The frame dissimilarity values are compared against an adaptive threshold to localize the shot. Experimentation on the TRECVID video segments have been done to demonstrate the performance of the proposed approach for both cut and fade detection. The comparative study with other approaches is included to exhibit the superiority of the proposed approach in terms of efficiency and accuracy of shot detection.
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页数：4
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