Paper
27 January 2010 A framework for theoretical analysis of content fingerprinting
Avinash L. Varna, Wei-Hong Chuang, Min Wu
Author Affiliations +
Proceedings Volume 7541, Media Forensics and Security II; 754112 (2010) https://doi.org/10.1117/12.845265
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Avinash L. Varna, Wei-Hong Chuang, and Min Wu "A framework for theoretical analysis of content fingerprinting", Proc. SPIE 7541, Media Forensics and Security II, 754112 (27 January 2010); https://doi.org/10.1117/12.845265
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Databases

Video

Binary data

Multimedia

Feature extraction

Quantization

Sensors

Back to Top