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Towards Effective Indexing for Very Large Video Sequence Database

Summary: Proposes ViTri, a compact cluster model for video frames as hyperspheres (center, radius, density) to estimate sequence similarity by hypersphere overlap. A PCA-based 1D transform enables a B+-tree index on ViTri positions, dramatically reducing similarity computations on large video databases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3680
Venue
SIGMOD
Year
2005
Pagerank
6.0124339e-05
Overall Rank
4,666 | 67.55%
DOI
-

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