A new similarity measure for near duplicate video clip detection

Zhou, Xiangmin, Zhou, Xiaofang and Shen, Heng Tao (2007). A new similarity measure for near duplicate video clip detection. In: Gouzhu Dong, Xuemin Lin, Yun Yang and Jeffrey Xu Yu, Advances in Data and Web Management. 9th Asia-Pacific Web Conference (APWeb 2007) and the 8th International Conference on Web-Age Information Management (WAIM 2007), Huang Shan, China, (176-187). 16-18 June 2007. doi:10.1007/978-3-540-72524-4_21


Author Zhou, Xiangmin
Zhou, Xiaofang
Shen, Heng Tao
Title of paper A new similarity measure for near duplicate video clip detection
Conference name 9th Asia-Pacific Web Conference (APWeb 2007) and the 8th International Conference on Web-Age Information Management (WAIM 2007)
Conference location Huang Shan, China
Conference dates 16-18 June 2007
Proceedings title Advances in Data and Web Management   Check publisher's open access policy
Journal name Advances in Data and Web Management, Proceedings   Check publisher's open access policy
Place of Publication Berlin, Germany
Publisher Springer-Verlag
Publication Year 2007
Sub-type Fully published paper
DOI 10.1007/978-3-540-72524-4_21
Open Access Status DOI
ISBN 978-3-540-72483-4
ISSN 0302-9743
1611-3349
Editor Gouzhu Dong
Xuemin Lin
Yun Yang
Jeffrey Xu Yu
Volume 4505
Start page 176
End page 187
Total pages 12
Language eng
Abstract/Summary Near-duplicate video clip(NDVC) detection is a special issue of content-based video search. Identifying the videos derived from the same original source is the primary task of this research. In NDVC detection, an important step is to define an effective similarity measure that captures both frame and sequence information inherent to the video clips. To address this, in this paper, we propose a new similarity measure, named as Video Edit Distance(VED), that adopts a complementary information compensation scheme based on the visual features and sequence context of videos. Visual features contain the discriminative information of each video, and sequence context captures the feature variation of it. To reduce the computation cost of inter-video comparison by VED, we extract key frames from video sequences and map each key frame into one single symbol. Various techniques are proposed to compensate the information loss in the measurement. Experimental results demonstrate that the proposed measure is highly effective.
Subjects 280103 Information Storage, Retrieval and Management
700101 Application packages
E1
Keyword Near-duplicate detection
Context information compensation
Q-Index Code E1
Q-Index Status Confirmed Code
Additional Notes Proceedings in 'Lecture Notes in Computer Science' Book series.

 
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Created: Tue, 29 Apr 2008, 01:41:08 EST by Donna Clark on behalf of School of Information Technol and Elec Engineering