Incremental update of feature extractor for camera identification

Ruizhe Li, Chang Tsun Li, Yu Guan

    Research output: Book chapter/Published conference paperConference paperpeer-review

    2 Citations (Scopus)
    4 Downloads (Pure)


    Sensor Pattern Noise (SPN) is an inherent fingerprint of imaging devices, which has been widely used in the tasks of digital camera identification, image classification and forgery detection. In our previous work, a feature extraction method based on PCA denoising concept was applied to extract a set of principal components from the original noise residual. However, this algorithm is inefficient when query cameras are continuously received. To solve this problem, we propose an extension based on Candid Covariance-free Incremental PCA (CCIPCA) and two modifications to incrementally update the feature extractor according to the received cameras. Experimental results show that the PCA and CCIPCA based features both outperform their original features on the ROC performance, and CCIPCA is more efficient on camera updating.
    Original languageEnglish
    Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Number of pages5
    ISBN (Electronic)9781479983391
    Publication statusPublished - 09 Dec 2015
    Event2015 22nd IEEE International Conference on Image Processing: ICIP 2015 - Quebec City Convention Centre, Quebec City, Canada
    Duration: 27 Sept 201530 Sept 2015


    Conference2015 22nd IEEE International Conference on Image Processing
    CityQuebec City
    OtherThe International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2015, the twenty second in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world. Research frontiers in fields ranging from traditional image processing applications to evolving multimedia and video technologies are regularly advanced by results first reported in ICIP technical sessions.
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