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
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