An attack invariant scheme for content-based video copy detection-Reference-Cited by-同舟云学术

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An attack invariant scheme for content-based video copy detection

Published:2013-05-03 Issue:4 Volume:7 Page:665-677
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Dutta Debabrata,Saha Sanjoy Kumar,Chanda Bhabatosh

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s11760-013-0482-x.pdf

Reference47 articles.

1. Adjeroh, D.A., Lee, M.C., King, I.: A distance measure for video sequences. Comput. Vis. Imag. Underst. 75, 25–45 (1999)

2. Barrios, J.M., Bustos, B.: Competitive content-based video copy detection using global descriptors. Multimed. Tools Appl. 62(1), 75–110 (2011)

3. Bhat, D.N., Nayar, S.K.: Ordinal measures for image correspondence. IEEE Trans. PAMI 20(4), 415–423 (1998)

4. Chang, E.Y., Wang, J.Z., Li, C., Wiederhold, G.: Rime: a replicated image detector for the world-wide-web. In: Proceedings of the SPIE multimedia storage and archiving systems III, pp. 68–71 (1998)

5. Chang, S.F.S., Chen, W., Meng, H.J., Sundaram, H., Zhong, D.: Videoq: an automated content based video search system using visual cues. In: Proceedings of 5th ACM international conference on Multimedia, ACM, pp. 313–324 (1997)

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