Content-based Video Retrieval
Content-Based Video Retrieval is a multimedia retrieval paradigm that enables the search and retrieval of video content based on low-level visual and auditory features, motion patterns, and spatiotemporal relationships directly extracted from the video data, rather than relying on manually annotated metadata or textual descriptions.
901
Publications
51.4K
Citations
2.2K
Authors
667
Institutions
Publications per year
2017–2026
146
Parents
901
Video Google: a text retrieval approach to object matching in videos
1–5 of 901
2.2K
15
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University of Illinois Urbana-Champaign, United States
13 publications · 1.3K citations
12
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IBM Research - Thomas J. Watson Research Center, United States
12 publications · 679 citations
12
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10
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10
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1–5 of 2.2K
667
Carnegie Mellon University
Pittsburgh, United States
20 h-index
74 publications
5.7K citations
National University of Singapore
Singapore, Singapore
19 h-index
59 publications
5.2K citations
Columbia University
New York, United States
16 h-index
39 publications
6K citations

Chinese Academy of Sciences
Beijing, China
15 h-index
50 publications
10K citations

City University of Hong Kong
Hong Kong, Hong Kong
15 h-index
33 publications
2.1K citations
Microsoft Research Asia (China)
Beijing, China
15 h-index
36 publications
1K citations

The University of Queensland
Brisbane, Australia
14 h-index
45 publications
1.9K citations
Purdue University West Lafayette
West Lafayette, United States
14 h-index
42 publications
2.1K citations
1–8 of 667
41 publications · 3.3K citations
26
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27 publications · 905 citations
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32 publications · 1.8K citations
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19 publications · 3.6K citations
17
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14 publications · 1.3K citations
14
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1–5