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- W2040803386 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." @default.
- W2040803386 created "2016-06-24" @default.
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- W2040803386 date "2006-10-01" @default.
- W2040803386 modified "2023-09-23" @default.
- W2040803386 title "Image Copy Detection via Grouping in Feature Space Based on Virtual Prior Attacks" @default.
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- W2040803386 doi "https://doi.org/10.1109/icip.2006.312888" @default.
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