An adaptive video shot segmentation scheme based on dual-detection model

CASIA OpenIR > 中科院工业视觉智能装备工程实验室 > 精密感知与控制

	An adaptive video shot segmentation scheme based on dual-detection model
	Jiang, Xinghao 1,4; Sun, Tanfeng 1,4; Liu, Jin 2,3,4; Chao, Juan 1; Zhang, Wensheng3
发表期刊	NEUROCOMPUTING
	2013-09-20
卷号	116 页码:102-111
文章类型	Article
摘要	Efficient segmentation of the video shots is the important and foundational work for the research of video content retrieval and analysis. A video shot segmentation scheme based on a dual-detection model is proposed, which includes the pre-detection and re-detection processes. The concepts of uneven blocked color histogram difference and uneven blocked pixel value difference based on human visual features are introduced, which are used as the main descriptors of the pre-detection process to enlarge the importance of central areas and to reduce the noises of background movements and logos. And the adaptive binary search method is introduced to fast detect boundaries with a time complexity of O(log(2)n). In the re-detection round, the scale invariant feature transform is applied to re-detect boundaries so as to improve the detection precision rate. Experiments show that this algorithm can improve both the recall rate and the precision rate of video shot boundary detection, especially for gradual shot boundaries. (C) 2012 Elsevier B.V. All rights reserved.
关键词	Video Shot Segmentation Scale Invariant Feature Transform Dual-detection Model Adaptive Binary Search
WOS标题词	Science & Technology ; Technology
关键词[WOS]	BOUNDARY DETECTION ; TEMPORAL SEGMENTATION ; INFORMATION ; FEATURES ; IMAGE
收录类别	SCI ; ISTP
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000320971900013
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10751
专题	中科院工业视觉智能装备工程实验室_精密感知与控制
作者单位	1.Shanghai Jiao Tong Univ, Sch Informat Secur Engn, Shanghai 200240, Peoples R China 2.Wuhan Univ, Sch Comp, State Key Lab Software Engn, Wuhan 430072, Peoples R China 3.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 4.Key Lab Shanghai Informat Secur Management & Tech, Shanghai 200240, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Xinghao,Sun, Tanfeng,Liu, Jin,et al. An adaptive video shot segmentation scheme based on dual-detection model[J]. NEUROCOMPUTING,2013,116:102-111.
APA	Jiang, Xinghao,Sun, Tanfeng,Liu, Jin,Chao, Juan,&Zhang, Wensheng.(2013).An adaptive video shot segmentation scheme based on dual-detection model.NEUROCOMPUTING,116,102-111.
MLA	Jiang, Xinghao,et al."An adaptive video shot segmentation scheme based on dual-detection model".NEUROCOMPUTING 116(2013):102-111.