@article {18152,
	title = {A framework for theoretical analysis of content fingerprinting},
	journal = {Proc. of SPIE Media Forensics and Security},
	year = {2010},
	month = {2010///},
	abstract = {The popularity of video sharing platforms such as Youtube has prompted the need for the development of efficienttechniques for multimedia identification. Content fingerprinting is a promising solution for this problem, whereby
a short {\textquotedblleft}fingerprint{\textquotedblright} 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.
},
	author = {Varna,A.L. and Chuang,W.H. and Wu,M.}
}
