Efficient techniques for sensor fingerprint matching in large image and video databases

Sevinc Bayram; H. Taha Sencar; Nasir Memon

doi:10.1117/12.845737

27 January 2010 Efficient techniques for sensor fingerprint matching in large image and video databases

Sevinc Bayram, H. Taha Sencar, Nasir Memon

Author Affiliations +

Proceedings Volume 7541, Media Forensics and Security II; 754109 (2010) https://doi.org/10.1117/12.845737
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

Sevinc Bayram, H. Taha Sencar, and Nasir Memon "Efficient techniques for sensor fingerprint matching in large image and video databases", Proc. SPIE 7541, Media Forensics and Security II, 754109 (27 January 2010); https://doi.org/10.1117/12.845737

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