NDLI: Camera Model Identification for JPEG Images via Tensor Analysis

Content Provider	IEEE Xplore Digital Library
Author	Ming Liu Nenghai Yu Weihai Li
Copyright Year	2010
Abstract	Camera model identification is to detect by which kind of cameras a photo is captured. A new blind camera model identification method is proposed from the perspective of a composite signal processing, which includes all camera fingerprints, inner embedded algorithms, and external software processing. Take the photo from an actual camera as a tensor, then the residual of Tucker decomposition is related to the nonlinear part of the composite process. Therefore, the pattern implied in the FFT of the decomposition residual is extracted to identify camera model. The SVM classifier is applied to judge whether or not a photo is shot by a certain camera and processed with a series given processing. Photos from five kinds of cameras were used in our experiments to demonstrate this method. Experimental results show that this method has high quite classification accuracy, even when photos were processed after being captured.
Starting Page	462
Ending Page	465
File Size	356536
Page Count	4
File Format	PDF
ISBN	9781424483785
DOI	10.1109/IIHMSP.2010.118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-15
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	residual Matrix decomposition composite processing Support vector machines Tensile stress Accuracy Transform coding Cameras Feature extraction space collapsing SVM classifier camera model identification tensor decomposition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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