An Efficient Approach to Still Image Copy Detection Based on SVD and Block Partition for Digital Forensics

摘要：

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.

关键词： content-based copy detection digital image forensics singular value decomposition copyright protection digital rights management

作者: XiaoBing KANG ShengMin WEI

作者单位: The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology,Ministry of Education,Northwestern Polytechnical University,Xian Shaanxi 710072,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2272-2276

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）