Near-duplicate video retrieval: current research and future trends

Liu, Jiajun, Huang, Zi, Cai, Hongyun, Shen, Heng Tao, Ngo, Chong-wah and Wang, Wei (2013) Near-duplicate video retrieval: current research and future trends. ACM Computing Surveys, 45 4: 44.1-44.23. doi:10.1145/2501654.2501658

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Author Liu, Jiajun
Huang, Zi
Cai, Hongyun
Shen, Heng Tao
Ngo, Chong-wah
Wang, Wei
Title Near-duplicate video retrieval: current research and future trends
Journal name ACM Computing Surveys   Check publisher's open access policy
ISSN 0360-0300
Publication date 2013-08
Sub-type Article (original research)
DOI 10.1145/2501654.2501658
Open Access Status
Volume 45
Issue 4
Start page 44.1
End page 44.23
Total pages 23
Place of publication New York, NY, United States
Publisher Association for Computing Machinery
Collection year 2014
Language eng
Formatted abstract
The exponential growth of online videos, along with increasing user involvement in video-related activities, has been observed as a constant phenomenon during the last decade. User's time spent on video capturing, editing, uploading, searching, and viewing has boosted to an unprecedented level. The massive publishing and sharing of videos has given rise to the existence of an already large amount of near-duplicate content. This imposes urgent demands on near-duplicate video retrieval as a key role in novel tasks such as video search, video copyright protection, video recommendation, and many more. Driven by its significance, near-duplicate video retrieval has recently attracted a lot of attention. As discovered in recent works, latest improvements and progress in near-duplicate video retrieval, as well as related topics including low-level feature extraction, signature generation, and high-dimensional indexing, are employed to assist the process.

As we survey the works in near-duplicate video retrieval, we comparatively investigate existing variants of the definition of near-duplicate video, describe a generic framework, summarize state-of-the-art practices, and explore the emerging trends in this research topic.
Keyword H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing—Abstracting methods; indexing methods
Near-duplicate video
Video retrieval
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 32 times in Scopus Article | Citations
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Created: Tue, 17 Sep 2013, 10:21:20 EST by Dr Heng Tao Shen on behalf of School of Information Technol and Elec Engineering