Structure tensor series-based large scale near-duplicate video retrieval

Zhou, Xiangmin, Chen, Lei and Zhou, Xiaofang (2012) Structure tensor series-based large scale near-duplicate video retrieval. IEEE Transactions On Multimedia, 14 4: 1220-1233. doi:10.1109/TMM.2012.2194481

Author Zhou, Xiangmin
Chen, Lei
Zhou, Xiaofang
Title Structure tensor series-based large scale near-duplicate video retrieval
Journal name IEEE Transactions On Multimedia   Check publisher's open access policy
ISSN 1520-9210
Publication date 2012-08
Sub-type Article (original research)
DOI 10.1109/TMM.2012.2194481
Volume 14
Issue 4
Start page 1220
End page 1233
Total pages 14
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2013
Language eng
Abstract With the huge amount of video data and its exponential growth in recent years, many new challenges, like storage, search and navigation, have arisen. Among these challenges, near-duplicate video retrieval aims to find clips that are identical or nearly identical in content to a query clip. This has attracted much attention due to its wide applications including copyright detection, commercial monitoring and news video tracking. In this paper, we propose a practical solution based on 3-D structure tensor model for this problem. We first propose a novel video representation, adaptive structure video tensor series, together with a robust similarity measure, to improve the retrieval effectiveness. Then, we design a dimensionality reduction technique for tensor series to improve the search efficiency. Finally, we prove the effectiveness and efficiency of the proposed method by extensive experiments on hundreds of hours of real video data.
Keyword Adaptive structure video tensor (ASVT) series
ASVT series distance measure
Dimensionality reduction
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
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