IEICE TRANSACTIONS on Information
Effective and Efficient Image Copy Detection with Resistance to Arbitrary Rotation
Summary :
For detecting the image copies of a given original image generated by arbitrary rotation, the existing image copy detection methods can not simultaneously achieve desirable performances in the aspects of both accuracy and efficiency. To address this challenge, a novel effective and efficient image copy detection method is proposed based on two global features extracted from rotation invariant partitions. Firstly, candidate images are preprocessed by an averaging operation to suppress noise. Secondly, the rotation invariant partitions of the preprocessed images are constructed based on pixel intensity orders. Thirdly, two global features are extracted from these partitions by utilizing image gradient magnitudes and orientations, respectively. Finally, the extracted features of images are compared to implement copy detection. Promising experimental results demonstrate our proposed method can effectively and efficiently resist rotations with arbitrary degrees. Furthermore, the performances of the proposed method are also desirable for resisting other typical copy attacks, such as flipping, rescaling, illumination and contrast change, as well as Gaussian noising.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.6 pp.1531-1540
- Publication Date
- 2016/06/01
- Publicized
- 2016/03/07
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDP7341
- Type of Manuscript
- PAPER
- Category
- Data Engineering, Web Information Systems
Authors
Zhili ZHOU
Nanjing University of Information Science and Technology
Ching-Nung YANG
National Dong Hwa University
Beijing CHEN
Nanjing University of Information Science and Technology
Xingming SUN
Nanjing University of Information Science and Technology
Qi LIU
Nanjing University of Information Science and Technology
Q.M. Jonathan WU
University of Windsor
Keyword
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Zhili ZHOU, Ching-Nung YANG, Beijing CHEN, Xingming SUN, Qi LIU, Q.M. Jonathan WU, "Effective and Efficient Image Copy Detection with Resistance to Arbitrary Rotation" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 6, pp. 1531-1540, June 2016, doi: 10.1587/transinf.2015EDP7341.
Abstract: For detecting the image copies of a given original image generated by arbitrary rotation, the existing image copy detection methods can not simultaneously achieve desirable performances in the aspects of both accuracy and efficiency. To address this challenge, a novel effective and efficient image copy detection method is proposed based on two global features extracted from rotation invariant partitions. Firstly, candidate images are preprocessed by an averaging operation to suppress noise. Secondly, the rotation invariant partitions of the preprocessed images are constructed based on pixel intensity orders. Thirdly, two global features are extracted from these partitions by utilizing image gradient magnitudes and orientations, respectively. Finally, the extracted features of images are compared to implement copy detection. Promising experimental results demonstrate our proposed method can effectively and efficiently resist rotations with arbitrary degrees. Furthermore, the performances of the proposed method are also desirable for resisting other typical copy attacks, such as flipping, rescaling, illumination and contrast change, as well as Gaussian noising.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDP7341/_p
Copy
@ARTICLE{e99-d_6_1531,
author={Zhili ZHOU, Ching-Nung YANG, Beijing CHEN, Xingming SUN, Qi LIU, Q.M. Jonathan WU, },
journal={IEICE TRANSACTIONS on Information},
title={Effective and Efficient Image Copy Detection with Resistance to Arbitrary Rotation},
year={2016},
volume={E99-D},
number={6},
pages={1531-1540},
abstract={For detecting the image copies of a given original image generated by arbitrary rotation, the existing image copy detection methods can not simultaneously achieve desirable performances in the aspects of both accuracy and efficiency. To address this challenge, a novel effective and efficient image copy detection method is proposed based on two global features extracted from rotation invariant partitions. Firstly, candidate images are preprocessed by an averaging operation to suppress noise. Secondly, the rotation invariant partitions of the preprocessed images are constructed based on pixel intensity orders. Thirdly, two global features are extracted from these partitions by utilizing image gradient magnitudes and orientations, respectively. Finally, the extracted features of images are compared to implement copy detection. Promising experimental results demonstrate our proposed method can effectively and efficiently resist rotations with arbitrary degrees. Furthermore, the performances of the proposed method are also desirable for resisting other typical copy attacks, such as flipping, rescaling, illumination and contrast change, as well as Gaussian noising.},
keywords={},
doi={10.1587/transinf.2015EDP7341},
ISSN={1745-1361},
month={June},}
Copy
TY - JOUR
TI - Effective and Efficient Image Copy Detection with Resistance to Arbitrary Rotation
T2 - IEICE TRANSACTIONS on Information
SP - 1531
EP - 1540
AU - Zhili ZHOU
AU - Ching-Nung YANG
AU - Beijing CHEN
AU - Xingming SUN
AU - Qi LIU
AU - Q.M. Jonathan WU
PY - 2016
DO - 10.1587/transinf.2015EDP7341
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2016
AB - For detecting the image copies of a given original image generated by arbitrary rotation, the existing image copy detection methods can not simultaneously achieve desirable performances in the aspects of both accuracy and efficiency. To address this challenge, a novel effective and efficient image copy detection method is proposed based on two global features extracted from rotation invariant partitions. Firstly, candidate images are preprocessed by an averaging operation to suppress noise. Secondly, the rotation invariant partitions of the preprocessed images are constructed based on pixel intensity orders. Thirdly, two global features are extracted from these partitions by utilizing image gradient magnitudes and orientations, respectively. Finally, the extracted features of images are compared to implement copy detection. Promising experimental results demonstrate our proposed method can effectively and efficiently resist rotations with arbitrary degrees. Furthermore, the performances of the proposed method are also desirable for resisting other typical copy attacks, such as flipping, rescaling, illumination and contrast change, as well as Gaussian noising.
ER -
English
