A New Approach to Image Copy Detection Based on Extended Feature Sets
Conventional image copy detection research concentrates on finding features that are robust enough to resist various kinds of image attacks. However, finding a globally effective feature is difficult and, in many cases, domain dependent. Instead of simply extracting features from copyrighted images...
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| Veröffentlicht in: | IEEE transactions on image processing 2007-08, Vol.16 (8), p.2069-2079 |
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| container_issue | 8 |
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| container_title | IEEE transactions on image processing |
| container_volume | 16 |
| creator | HSIAO, Jen-Hao CHEN, Chu-Song CHIEN, Lee-Feng CHEN, Ming-Syan |
| description | Conventional image copy detection research concentrates on finding features that are robust enough to resist various kinds of image attacks. However, finding a globally effective feature is difficult and, in many cases, domain dependent. Instead of simply extracting features from copyrighted images directly, we propose a new framework called the extended feature set for detecting copies of images. In our approach, virtual prior attacks are applied to copyrighted images to generate novel features, which serve as training data. The copy-detection problem can be solved by learning classifiers from the training data, thus, generated. Our approach can be integrated into existing copy detectors to further improve their performance. Experiment results demonstrate that the proposed approach can substantially enhance the accuracy of copy detection. |
| doi_str_mv | 10.1109/TIP.2007.900099 |
| format | Article |
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However, finding a globally effective feature is difficult and, in many cases, domain dependent. Instead of simply extracting features from copyrighted images directly, we propose a new framework called the extended feature set for detecting copies of images. In our approach, virtual prior attacks are applied to copyrighted images to generate novel features, which serve as training data. The copy-detection problem can be solved by learning classifiers from the training data, thus, generated. Our approach can be integrated into existing copy detectors to further improve their performance. Experiment results demonstrate that the proposed approach can substantially enhance the accuracy of copy detection.</description><identifier>ISSN: 1057-7149</identifier><identifier>EISSN: 1941-0042</identifier><identifier>DOI: 10.1109/TIP.2007.900099</identifier><identifier>PMID: 17688212</identifier><identifier>CODEN: IIPRE4</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; Classifiers ; Computer Graphics ; Computer Security ; Computer vision ; Concentrates ; Data Compression - methods ; Detection, estimation, filtering, equalization, prediction ; Detectors ; Digital images ; Exact sciences and technology ; Extended feature set (EFS) ; Gaussian mixture model ; image copy detection ; Image Interpretation, Computer-Assisted - methods ; Image processing ; Information, signal and communications theory ; Intellectual property ; Internet ; Law ; Learning ; Legal factors ; ordinal measure ; Patents as Topic ; pattern classification ; Pattern recognition ; Pattern Recognition, Automated - methods ; Product Labeling - methods ; Reproducibility of Results ; Reproduction ; Resists ; Robustness ; Sensitivity and Specificity ; Signal and communications theory ; Signal processing ; Signal Processing, Computer-Assisted ; Signal representation. 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| subjects | Algorithms Applied sciences Classifiers Computer Graphics Computer Security Computer vision Concentrates Data Compression - methods Detection, estimation, filtering, equalization, prediction Detectors Digital images Exact sciences and technology Extended feature set (EFS) Gaussian mixture model image copy detection Image Interpretation, Computer-Assisted - methods Image processing Information, signal and communications theory Intellectual property Internet Law Learning Legal factors ordinal measure Patents as Topic pattern classification Pattern recognition Pattern Recognition, Automated - methods Product Labeling - methods Reproducibility of Results Reproduction Resists Robustness Sensitivity and Specificity Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal representation. Spectral analysis Signal, noise support vector machine Telecommunications and information theory Training Training data Watermarking |
| title | A New Approach to Image Copy Detection Based on Extended Feature Sets |
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