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Incremental updating feature extracion for camera identification
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Li, Ruizhe, Li, Chang-Tsun and Guan, Yu (2015) Incremental updating feature extracion for camera identification. In: IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, 27-30 Sep 2015. Published in: 10.1109/ICIP.2015.7350813 pp. 324-328.
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Official URL: http://dx.doi.org/10.1109/ICIP.2015.7350813
Abstract
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.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
| Divisions: | Faculty of Science > Computer Science | ||||
| Library of Congress Subject Headings (LCSH): | Digital cameras -- Identification, Biometric identification, Image processing -- Digital techniques, Pattern recognition systems, Optical pattern recognition, Computer crimes -- Investigation | ||||
| Journal or Publication Title: | 10.1109/ICIP.2015.7350813 | ||||
| Publisher: | IEEE | ||||
| Official Date: | 27 September 2015 | ||||
| Dates: |
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| Date of first compliant deposit: | 11 January 2016 | ||||
| Page Range: | pp. 324-328 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | IEEE International Conference on Image Processing (ICIP) | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Quebec City, Canada | ||||
| Date(s) of Event: | 27-30 Sep 2015 |
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