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Proceedings Paper

Robust efficient video fingerprinting
Author(s): Manika Puri; Jeffrey Lubin
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Paper Abstract

We have developed a video fingerprinting system with robustness and efficiency as the primary and secondary design criteria. In extensive testing, the system has shown robustness to cropping, letter-boxing, sub-titling, blur, drastic compression, frame rate changes, size changes and color changes, as well as to the geometric distortions often associated with camcorder capture in cinema settings. Efficiency is afforded by a novel two-stage detection process in which a fast matching process first computes a number of likely candidates, which are then passed to a second slower process that computes the overall best match with minimal false alarm probability. One key component of the algorithm is a maximally stable volume computation - a three-dimensional generalization of maximally stable extremal regions - that provides a content-centric coordinate system for subsequent hash function computation, independent of any affine transformation or extensive cropping. Other key features include an efficient bin-based polling strategy for initial candidate selection, and a final SIFT feature-based computation for final verification. We describe the algorithm and its performance, and then discuss additional modifications that can provide further improvement to efficiency and accuracy.

Paper Details

Date Published: 4 February 2009
PDF: 8 pages
Proc. SPIE 7254, Media Forensics and Security, 725406 (4 February 2009); doi: 10.1117/12.805997
Show Author Affiliations
Manika Puri, Sarnoff Corp. (United States)
Jeffrey Lubin, Sarnoff Corp. (United States)


Published in SPIE Proceedings Vol. 7254:
Media Forensics and Security
Edward J. Delp; Jana Dittmann; Nasir D. Memon; Ping Wah Wong, Editor(s)

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