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Proceedings Paper

Efficient techniques for sensor fingerprint matching in large image and video databases
Author(s): Sevinc Bayram; H. Taha Sencar; Nasir Memon
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Paper Abstract

Several promising techniques have been recently proposed to bind an image or video to its source acquisition device. These techniques have been intensively studied to address performance issues, but the computational efficiency aspect has not been given due consideration. Considering very large databases, in this paper, we focus on the efficiency of the sensor fingerprint based source device identification technique.1 We propose a novel scheme based on tree structured vector quantization that offers logarithmic improvements in the search complexity as compared to conventional approach. To demonstrate the effectiveness of the proposed approach several experiments are conducted. Our results show that with the proposed scheme major improvement in search time can be achieved.

Paper Details

Date Published: 27 January 2010
PDF: 8 pages
Proc. SPIE 7541, Media Forensics and Security II, 754109 (27 January 2010); doi: 10.1117/12.845737
Show Author Affiliations
Sevinc Bayram, Polytechnic Institute of New York Univ. (United States)
H. Taha Sencar, TOBB Univ. of Economics and Technology (Turkey)
Nasir Memon, Polytechnic Institute of New York Univ. (United States)

Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp III, Editor(s)

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