Robust Video Fingerprinting Based on Symmetric Pairwise Boosting

This paper proposes a video fingerprinting method based on a novel binary fingerprint obtained using a feature selection algorithm called the symmetric pairwise boosting (SPB). The binary fingerprints are obtained by filtering and quantizing perceptually significant features extracted from an input video clip. The SPB algorithm, which is a generalization of the conventional asymmetric pairwise boosting (APB), selects appropriate filters and quantizers from a class of candidate filters and quantizers in such a way that perceptually similar and dissimilar pairs of video clips are correctly classified as matching and non-matching pairs, respectively. The binary form of the novel fingerprint makes it conducive to an efficient database search, and the experimental results show that the proposed method outperforms the APB-based video fingerprinting methods in terms of both robustness and discriminability.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2009-09
Language
ENG
Keywords

AUDIO

Citation

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.19, no.9, pp.1379 - 1388

ISSN
1051-8215
DOI
10.1109/TCSVT.2009.2022801
URI
http://hdl.handle.net/10203/95245
Appears in Collection
EE-Journal Papers(저널논문)
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