ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:TP-P4.10
Session:Authentication and Cryptography
Time:Tuesday, October 10, 14:20 - 17:00
Presentation: Poster
Topic: Security: Authentication
Title: IMAGE COPY DETECTION VIA GROUPING IN FEATURE SPACE BASED ON VIRTUAL PRIOR ATTACKS
Authors: Jen-Hao Hsiao; Academia Sinica 
 Chu-Song Chen; Academia Sinica 
 Lee-Feng Chien; Academia Sinica 
 Ming-Syan Chen; National Taiwan University 
Abstract: In the past, many researches on image copy detection focused on finding a feature that is robust enough for various kinds of image attacks. But it is difficult to find a globally effective feature that is appropriate for many situations. In this paper, we introduce a classification framework to this problem, instead of solving the feature-selection problem. In our approach, novel features are generated by applying virtual prior attacks to copyrighted images, and the copy-detection problem is converted to a classification one that is more robust to solve. Our approach can combine existing image copy detectors and further raise their performances.