Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6620
Title: Efficient Techniques For Sensor Fingerprint Matching In Large Image & Video Databases
Authors: Bayram, Sevinç
Sencar, Hüsrev Taha
Memon, Nasir
Keywords: PRNU noise
camera identification
efficient search
Issue Date: 2010
Publisher: Spie-Int Soc Optical Engineering
Source: Conference on Media Forensics and Security II -- JAN 18-20, 2010 -- San Jose, CA
Series/Report no.: Proceedings of SPIE
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.
URI: https://doi.org/10.1117/12.845737
https://hdl.handle.net/20.500.11851/6620
ISBN: 978-0-8194-7934-1
ISSN: 0277-786X
1996-756X
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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