ASVTDECTOR: A practical near duplicate video retrieval system

Zhou, X and Chen, L 2013, 'ASVTDECTOR: A practical near duplicate video retrieval system', in Proceedings of the 29th International Conference on Data Engineering (ICDE 2013), Brisbane, Australia, 8-12 April 2013, pp. 1348-1351.


Document type: Conference Paper
Collection: Conference Papers

Title ASVTDECTOR: A practical near duplicate video retrieval system
Author(s) Zhou, X
Chen, L
Year 2013
Conference name ICDE 2013
Conference location Brisbane, Australia
Conference dates 8-12 April 2013
Proceedings title Proceedings of the 29th International Conference on Data Engineering (ICDE 2013)
Publisher IEEE
Place of publication United States
Start page 1348
End page 1351
Total pages 4
Abstract In this paper, we present a system, named ASVTDECTOR, to retrieve the near duplicate videos with large variations based on an 3D structure tensor model, named ASVT series, over the local descriptors of video segments. Different from the traditional global feature-based video detection systems that incur severe information loss, ASVT model is built over the local descriptor set of each video segment, keeping the robustness of local descriptors. Meanwhile, unlike the traditional local feature-based methods that suffer from the high cost of pair-wise descriptor comparison, ASVT model describes a video segment as an 3D structure tensor that is actually a 3 × 3 matrix, obtaining high retrieval efficiency. In this demonstration, we show that, given a clip, our ASVTDETECTOR system can effectively find the near-duplicates with large variations from a large collection in real time.
Subjects Data Format not elsewhere classified
DOI - identifier 10.1109/ICDE.2013.6544941
Copyright notice © 2013 IEEE
ISSN 1063-6382
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