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Efficient and Cost-effective Techniques for Browsing and Indexing Large Video Databases

Summary: Content-based, fully automatic video indexing from shot segmentation with camera-tracking; uses Var^BA and Var^OA to encode background/foreground change. Builds a browsing hierarchy and a variance-based index for efficient similarity search. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3265
Venue
SIGMOD
Year
2000
Pagerank
6.6900936e-05
Overall Rank
4,459 | 69.41%
DOI
10.1145/342009.335436

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{oh_sigmod00,
        title = {{Efficient and Cost-effective Techniques for Browsing and Indexing Large Video Databases}},
        author = {Oh, JungHwan and Hua, Kien A.},
        series = {{SIGMOD} '00},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/342009.335436},
        url = {https://dl.acm.org/doi/10.1145/342009.335436},
        year = {2000}
}

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