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Challenges and Techniques for Effective and Efficient Similarity Search in Large Video Databases

Summary: Novel scalable methods for content-based video similarity search in large databases. Two tasks: retrieval over segmented clip collections and subsequence identification in unsegmented streams; demonstrated in the UQLIPS prototype with commercialization potential. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9807
Venue
VLDB
Year
2008
Pagerank
4.3974472e-05
Overall Rank
9,096 | 36.73%
DOI
-

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Rank Citing Paper Year Venue Pagerank
8,672 Optimizing Video Selection LIMIT Queries With Commonsense Knowledge 2024 VLDB 4.4710897e-05
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