A Photo Identification Framework to Prevent Copyright Infringement with Manipulations
In recent years, copyright infringement has been one of the most serious problems that hamper the development of the culture and arts industry. Due to the limitations of existing image search services, these infringements have not been properly identified and the number of infringements has been inc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/19/9194 |
| _version_ | 1797516823934009344 |
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| author | Doyoung Kim Suwoong Heo Jiwoo Kang Hogab Kang Sanghoon Lee |
| author_facet | Doyoung Kim Suwoong Heo Jiwoo Kang Hogab Kang Sanghoon Lee |
| author_sort | Doyoung Kim |
| collection | DOAJ |
| description | In recent years, copyright infringement has been one of the most serious problems that hamper the development of the culture and arts industry. Due to the limitations of existing image search services, these infringements have not been properly identified and the number of infringements has been increasing continuously. To uncover these infringements and handle big data extracted from copyright photos, we propose a photo copyright identification framework to accurately handle manipulations of stolen photos. From a collage of cropped photos, regions of interest (RoIs) are detected to reduce the influence of cropping and identify each photo by <i>Image RoI Detection</i>. Binary descriptors for quick database search are generated from the RoIs by <i>Image Hashing</i> robustly to geometric and color manipulations. The matching results of <i>Image Hashing</i> are verified by measuring their similarity using the proposed <i>Image Verification</i> to reduce false positives. Experimental results demonstrate that the proposed framework outperforms other image retrieval methods in identification accuracy and significantly reduces the false positive rate by 2.8%. This framework is expected to identify copyright infringements in practical situations and have a positive effect on the copyright market. |
| first_indexed | 2024-03-10T07:06:15Z |
| format | Article |
| id | doaj.art-f309473ccc7740f18ef43f4da87cf897 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T07:06:15Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f309473ccc7740f18ef43f4da87cf8972023-11-22T15:49:06ZengMDPI AGApplied Sciences2076-34172021-10-011119919410.3390/app11199194A Photo Identification Framework to Prevent Copyright Infringement with ManipulationsDoyoung Kim0Suwoong Heo1Jiwoo Kang2Hogab Kang3Sanghoon Lee4Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, KoreaDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, KoreaDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, KoreaDRMinside, Seoul 05179, KoreaDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, KoreaIn recent years, copyright infringement has been one of the most serious problems that hamper the development of the culture and arts industry. Due to the limitations of existing image search services, these infringements have not been properly identified and the number of infringements has been increasing continuously. To uncover these infringements and handle big data extracted from copyright photos, we propose a photo copyright identification framework to accurately handle manipulations of stolen photos. From a collage of cropped photos, regions of interest (RoIs) are detected to reduce the influence of cropping and identify each photo by <i>Image RoI Detection</i>. Binary descriptors for quick database search are generated from the RoIs by <i>Image Hashing</i> robustly to geometric and color manipulations. The matching results of <i>Image Hashing</i> are verified by measuring their similarity using the proposed <i>Image Verification</i> to reduce false positives. Experimental results demonstrate that the proposed framework outperforms other image retrieval methods in identification accuracy and significantly reduces the false positive rate by 2.8%. This framework is expected to identify copyright infringements in practical situations and have a positive effect on the copyright market.https://www.mdpi.com/2076-3417/11/19/9194copyright photocopyright infringementimage identification |
| spellingShingle | Doyoung Kim Suwoong Heo Jiwoo Kang Hogab Kang Sanghoon Lee A Photo Identification Framework to Prevent Copyright Infringement with Manipulations Applied Sciences copyright photo copyright infringement image identification |
| title | A Photo Identification Framework to Prevent Copyright Infringement with Manipulations |
| title_full | A Photo Identification Framework to Prevent Copyright Infringement with Manipulations |
| title_fullStr | A Photo Identification Framework to Prevent Copyright Infringement with Manipulations |
| title_full_unstemmed | A Photo Identification Framework to Prevent Copyright Infringement with Manipulations |
| title_short | A Photo Identification Framework to Prevent Copyright Infringement with Manipulations |
| title_sort | photo identification framework to prevent copyright infringement with manipulations |
| topic | copyright photo copyright infringement image identification |
| url | https://www.mdpi.com/2076-3417/11/19/9194 |
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