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An adaptive video shot segmentation scheme based on dual-detection model
Jiang, Xinghao1,4; Sun, Tanfeng1,4; Liu, Jin2,3,4; Chao, Juan1; Zhang, Wensheng3
Source PublicationNEUROCOMPUTING
2013-09-20
Volume116Pages:102-111
SubtypeArticle
AbstractEfficient 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.
KeywordVideo Shot Segmentation Scale Invariant Feature Transform Dual-detection Model Adaptive Binary Search
WOS HeadingsScience & Technology ; Technology
WOS KeywordBOUNDARY DETECTION ; TEMPORAL SEGMENTATION ; INFORMATION ; FEATURES ; IMAGE
Indexed BySCI ; ISTP
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000320971900013
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10751
Collection精密感知与控制研究中心_精密感知与控制
Affiliation1.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
Recommended Citation
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.
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