ABSTRACT
In this paper, we propose a novel scale and rotation invariant Gabor texture descriptor for content-based image copy detection. Firstly, the Gabor filters with different orientations and scales using a fixed-size window are constructed. Secondly, the Discrete Fourier Transform is implemented on each image. The low-frequency region of an image with the fixed size is extracted, and is filtered by the Gabor filters with the same fixed-size window. Thirdly, a statistical feature of these Gabor-filtered images is extracted as a scale invariant Gabor texture descriptor. At last, the circular shift method is employed on the scale invariant feature to achieve the rotation invariance. Experimental results demonstrate that the proposed feature is effective to resist various types of image transformations, such as scaling, rotation, flip, cut, crop, intensity, contrast, texts-inserting, blurring, noise, shift, and various combined-attacks.
- Jen-Hao Hsiao, Chu-Song Chen, Lee-Feng Chien, Ming-Syan Chen. A New Approach to Image Copy Detection Based on Extended Feature Sets. IEEE Trans. Image Process. vol.16, no.8, pp.2069--2079, Augest 2007. Google ScholarDigital Library
- Mingni Wu, Chiachen Lin, and Chinchen Chang. Image Copy Detection with Rotating Tolerance. CIS 2005, Part I, LNAI 3801, pp.464--469, 2005. Google ScholarDigital Library
- J. R. Bach, C. Fuller, A. Gupta, A. Hampapur, B. Horowitz, R. Jain, and C. Shu. The virage image search engine: An open framework for image management. Proc. SPIE: Storage and Retrieval for Still Image and Video Database IV, vol.2670, pp.76--87, 1996.Google ScholarCross Ref
- Julien Law-To, Li Chen, Alexis Joly, Ivan Laptev, Olivier Buisson, Valerie Gouet-Brunet, Nozha Boujemaa, Fred Stentiford. Video copy detection: a comparative study. Proceedings of the 6th ACM international conference on Image and video retrieval, pp.371--378, July 2007. Google ScholarDigital Library
- E. Y. Chang, J.-Z. Wang, C. Li, and G. Wiederhold. RIME: A replicated image detector for the world-wide-web. Proc. SPIE: Multimedia Storage and Archiving Systems III, vol.3527, pp.58--67, 1998.Google ScholarCross Ref
- E. Y. Chang, C. Li, J.-Z. Wang, P. Mork, and G. Wiederhold. Searching near-replicas of images via clustering. Proc. SPIE: Multimedia Storage and Archiving Systems IV, vol.3846, 1999.Google ScholarCross Ref
- M. K. Mihcak and R. Venkatesan. New iterative geometric methods for robust perceptual image hashing. Proc. ACM Workshop on Security and Privacy in Digital Rights Management, vol.2320, pp. 13--21, 2001. Google ScholarDigital Library
- C.-S. Lu and C.-Y. Hsu. Geometric distortion-resilient image hashing scheme and its applications on copy detection and authentication. ACM Multimedia Syst. J., vol.11, pp.159--173, 2005.Google ScholarDigital Library
- Meng, Y., Chang, E. Image copy detection using dynamic partial function. Proc. SPIE Storage Retrieval Media Database, vol.5021, pp.176--186, 2003.Google Scholar
- S. A. Berrani, L. Amsaleg, and P. Gros. Robust content-based image searches for copyright protection. Proc. ACM Int. Workshop on Multimedia Databases, pp.70--77, 2003. Google ScholarDigital Library
- K. Yan, R. Sukthankar, and L. Huston. Efficient near-duplicate detection and subimage retrieval. Proc. ACM Int. Conf. Multimedia, pp.869--876, 2004. Google ScholarDigital Library
- Chia Chen Lin, and Shing Shoung Wang. An image copy detection scheme based on edge features. ICME, pp.665--668, 2008Google Scholar
- Kim.C. Content-based image copy detection. Signal Processing Image Communication, vol.18, pp.169--184, 2003.Google ScholarCross Ref
- Arnia. F., I. Iizuka, M. Fujiyoshi, and H. Kiya. DCT sign-based similarity measure for jpeg image retrieval. IEICE Trans. Fundamentals E90-A, pp.1976--1985, 2007. Google ScholarDigital Library
- Arnia, F., Fujiyoshi, M., Kiya, H. The use of DCT coefficient sign for content-based copy detection. International symposium on Communications and information Technologies (ISCIT), pp.1476--1481, 2007.Google Scholar
- T. Andrysiak and M. Choras. Image retrieval based on hierarchical Gabor filters. International Journal of Applied Mathematics and Computer Science. vol.15, no.4, pp.471--480, 2005.Google Scholar
- D. Shin, D. Kim, H. Kim, and S. Park. An image retrieval technique using rotationally invariant Gabor features and a localization method. IEEE International Conference on Multimedia and Expo, vol.2, pp.701--704, July 2003. Google ScholarDigital Library
- J. G. Daugman. Complete Discrete 2D Gabor Transforms by Neural Networks for Image Analysis and Compression. IEEE Transaction on Acoustics, Speech and Signal Processing, vol.36, no.7, pp.1169--1179, July 1988.Google Scholar
- S. Arivazhagan, L. Ganesan and S. P. Priyal. Texture classification using Gabor wavelets based rotation invariant features. Pattern Recognition Letters, vol.27, no.16, pp. 1976--1982, Dec.2006. Google ScholarDigital Library
- Y. M. Ro, M. Kim, H. K. Kang, B. S. Manjunath, and J. Kim. MPEG-7 Homogeneous Texture Descriptor. ETRI Journal, vol.23, no.2, pp.41--51, June 2001.Google ScholarCross Ref
- L. Zhang, J. Ma, X. Xu, and B. Yuan. Rotation invariant image classification based on MPEG-7 Homogeneous Texture Descriptor. Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, vol.3, pp.798--803, July 2007. Google ScholarDigital Library
- D. S. Zhang, A. Wong, M. Indrawan, and G. Lu. Content based image retrieval using Gabor texture features. Proceeding of 1st IEEE Pacific Rim Conference on Multimedia (PCM'00), pp.392--395, 2000.Google Scholar
- Z. Zhu, M. Tang, and H. Lu. A new robust circular Gabor based object matching by using weighted Hausdorff distance. Pattern Recognition Letters, vol.25, no.4, pp.515--523, 2004. Google ScholarDigital Library
- X. Xie, Q. Dai, K. M. Lam, and H. Zhao. Efficient rotation- and scale-invariant texture classification method based on Gabor wavelets. Journal of Electronic Imaging, vol.17, no.4, 2008.Google ScholarCross Ref
- G. Schaefer and M. Stich. UCID-An uncompressed colour image database. In Proc. SPIE. vol.5307, pp.472--480,2004.http://vision.cs.aston.ac.uk/atasets/UCID/ucid.html/ucid.v2.tar.gz.Google Scholar
Index Terms
- Image copy detection using a robust gabor texture descriptor
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