NDLI: Image copy detection via learning from copies based on virtual prior attacks

Content Provider	IEEE Xplore Digital Library
Author	Yanrong Min Xiaoqiang Li Huicheng Lian Jingjing Wang
Copyright Year	2012
Description	Author affiliation: School of Computer Engineering and Science, Shanghai University, 200072 China (Yanrong Min; Xiaoqiang Li; Huicheng Lian; Jingjing Wang)
Abstract	In the near past, most of the researches on image copy detection focused on finding an image feature that is robust for all kinds of image attacks. However, it is difficult to find a feature that is robust enough for most of image attacks. When original image suffers from image attack, especially serious attack, the number of keypoint matches and the performance of image copy detection will be reduced. In this paper, we propose a novel copy detection framework to solve the problem instead of finding a better feature. In our approach, the original image is applied some kinds of virtual attacks, and the attacked images can be considered to be the copies of original image, then we detect keypoint on original image, its copies and test image using scale-invariant feature transform(SIFT) $algorithm^{[1]}.$ SIFT descriptors are computed for keypoint's representation. In the past, popular copy detection method used to match the descriptors attached to the keypoints between original image and test image directly. However, our method not only matches directly between original image and test image, but also matches indirectly. This indirect matching process can be converted to two sub-processes: (1) matching the keypoints between test image and original image's copies, (2) matching the keypoints between original image and its copies. Our method can achieve good performance on keypoint matching and copy detection under the noise and JPEG attack.
Starting Page	391
Ending Page	394
File Size	412180
Page Count	4
File Format	PDF
ISBN	9781467300254
e-ISBN	9781467300247
DOI	10.1109/FSKD.2012.6234148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Airplanes Scale-Invariant Features Transform (SIFT) Noise Transform coding Signal processing algorithms Watermarking Feature extraction Robustness image copy detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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