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Proceedings Paper

A framework for theoretical analysis of content fingerprinting
Author(s): Avinash L. Varna; Wei-Hong Chuang; Min Wu
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Paper Abstract

The popularity of video sharing platforms such as Youtube has prompted the need for the development of efficient techniques for multimedia identification. Content fingerprinting is a promising solution for this problem, whereby a short "fingerprint" that captures robust and unique characteristics of a signal is computed from each multimedia document. This fingerprint is then compared with a database to identify the multimedia. Several fingerprinting techniques have been proposed in the literature and have been evaluated using experiments. To complement these experimental evaluations and gain a deeper understanding, this paper proposes a framework for theoretical modeling and analysis of content fingerprinting schemes. Analysis of some key modules for fingerprint encoding and matching are also presented under this framework.

Paper Details

Date Published: 27 January 2010
PDF: 10 pages
Proc. SPIE 7541, Media Forensics and Security II, 754112 (27 January 2010); doi: 10.1117/12.845265
Show Author Affiliations
Avinash L. Varna, Univ. of Maryland, College Park (United States)
Wei-Hong Chuang, Univ. of Maryland, College Park (United States)
Min Wu, Univ. of Maryland, College Park (United States)

Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp III, Editor(s)

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