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Technical Program
Paper Detail
| Paper: | TP-P4.10 |
| Session: | Authentication and Cryptography |
| Time: | Tuesday, October 10, 14:20 - 17:00 |
| Presentation: |
Poster
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| 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. |
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