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

Sevinc Bayram, H. Taha Sencar, Nasir Memon

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish (US)
    Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Media Forensics and Security II
    Volume7541
    DOIs
    StatePublished - 2010
    EventMedia Forensics and Security II - San Jose, CA, United States
    Duration: Jan 18 2010Jan 20 2010

    Other

    OtherMedia Forensics and Security II
    CountryUnited States
    CitySan Jose, CA
    Period1/18/101/20/10

    Fingerprint

    Video Databases
    Image Database
    Vector quantization
    Fingerprint
    Computational efficiency
    Sensor
    vector quantization
    Vector Quantization
    sensors
    Sensors
    Computational Efficiency
    acquisition
    Logarithmic
    Experiments
    Demonstrate
    Experiment
    Acquisition

    Keywords

    • Camera identification
    • Efficient search
    • PRNU noise

    ASJC Scopus subject areas

    • Applied Mathematics
    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics

    Cite this

    Bayram, S., Sencar, H. T., & Memon, N. (2010). Efficient techniques for sensor fingerprint matching in large image and video databases. In Proceedings of SPIE-IS and T Electronic Imaging - Media Forensics and Security II (Vol. 7541). [754109] https://doi.org/10.1117/12.845737

    Efficient techniques for sensor fingerprint matching in large image and video databases. / Bayram, Sevinc; Sencar, H. Taha; Memon, Nasir.

    Proceedings of SPIE-IS and T Electronic Imaging - Media Forensics and Security II. Vol. 7541 2010. 754109.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Bayram, S, Sencar, HT & Memon, N 2010, Efficient techniques for sensor fingerprint matching in large image and video databases. in Proceedings of SPIE-IS and T Electronic Imaging - Media Forensics and Security II. vol. 7541, 754109, Media Forensics and Security II, San Jose, CA, United States, 1/18/10. https://doi.org/10.1117/12.845737
    Bayram S, Sencar HT, Memon N. Efficient techniques for sensor fingerprint matching in large image and video databases. In Proceedings of SPIE-IS and T Electronic Imaging - Media Forensics and Security II. Vol. 7541. 2010. 754109 https://doi.org/10.1117/12.845737
    Bayram, Sevinc ; Sencar, H. Taha ; Memon, Nasir. / Efficient techniques for sensor fingerprint matching in large image and video databases. Proceedings of SPIE-IS and T Electronic Imaging - Media Forensics and Security II. Vol. 7541 2010.
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