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A framework for theoretical analysis of content fingerprinting

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.