Title :
An efficient approach to still image copy detection based on SVD and block partition for digital forensics
Author :
Kang, XiaoBing ; Wei, ShengMin
Author_Institution :
Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
As an important component of passive media forensics (PMF), content-based copy detection (CBCD) is appropriate for identifying piracy of digital content and preventing falsified evidence. In this paper, we propose a novel and efficient CBCD scheme for identifying different altered versions of original images. We employ singular value decomposition (SVD) and block partition to improve the robustness and discriminability of image content identification. To examine the validity of proposed copy detection algorithm, 32 attacks including geometric transformation, signal processing and image manipulation, are applied to copyrighted images to generate large virtual altered images. Experimental results demonstrate the efficacy of the proposed copy detection scheme in withstanding various attacks.
Keywords :
computer forensics; copy protection; copyright; image processing; singular value decomposition; SVD; block partition; content-based copy detection; copy detection algorithm; copyrighted images; digital content; digital forensics; falsified evidence; geometric transformation; image content identification; image manipulation; passive media forensics; piracy identification; signal processing; singular value decomposition; still image copy detection; virtual altered images; Detection algorithms; Digital forensics; Educational technology; Image processing; Internet; Laboratories; Protection; Signal processing; Singular value decomposition; Watermarking; content-based copy detection; copyright protection; digital image forensics; digital rights management; singular value decomposition;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358149