Open AccessA framework for theoretical analysis of content fingerprinting
Author(s) -
Avinash L. Varna,
Wei-Hong Chuang,
Min Wu
Publication year - 2010
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.845265
Subject(s) - computer science , fingerprint (computing) , fingerprint recognition , key (lock) , complement (music) , matching (statistics) , popularity , identification (biology) , multimedia , pattern matching , data mining , information retrieval , artificial intelligence , computer security , mathematics , psychology , social psychology , biochemistry , chemistry , statistics , botany , complementation , biology , gene , phenotype
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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