an video shot segmentation scheme based on adaptive binary searching and sift

ISCAS OpenIR

	an video shot segmentation scheme based on adaptive binary searching and sift
	Jiang Xinghao; Sun Tanfeng; Liu Jin; Zhang Wensheng; Chao Juan
	2011
会议名称	7th International Conference on Intelligent Computing, ICIC 2011
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	650-655
会议日期	August 11, 2011 - August 14, 2011
会议地点	Zhengzhou, China
收录类别	EI
ISSN	0302-9743
ISBN	9783642259432
部门归属	(1) School of Information Security Engineering Shanghai Jiao Tong University Shanghai 200240 China; (2) State Key Lab. of Software Engineering School of Computer Wuhan University Wuhan 430072 China; (3) Key Lab. of Complex System and Intelligence Science Institute of Automation Chinese Academy of Science Beijing 100190 China; (4) Key Lab. of Shanghai Information Security Management and Technology Research Shanghai 200240 China
摘要	A video shot segmentation scheme with dual-detection model is proposed. In the pre-detection round, the Uneven Blocked differences are presented and used in Adaptive Binary Search (ABS) to detect shot boundaries. In the re-detection round, the Scale Invariant Feature Transform (SIFT) method is applied to exclude false detections. Experiments show that this algorithm achieves well performances in detecting both abrupt and gradual boundaries. © 2012 Springer-Verlag.; A video shot segmentation scheme with dual-detection model is proposed. In the pre-detection round, the Uneven Blocked differences are presented and used in Adaptive Binary Search (ABS) to detect shot boundaries. In the re-detection round, the Scale Invariant Feature Transform (SIFT) method is applied to exclude false detections. Experiments show that this algorithm achieves well performances in detecting both abrupt and gradual boundaries. © 2012 Springer-Verlag.
关键词	Computation Theory Video Signal Processing
主办者	IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16318
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Jiang Xinghao,Sun Tanfeng,Liu Jin,et al. an video shot segmentation scheme based on adaptive binary searching and sift[C],2011:650-655.