New Iterative Geometric Methods for Robust Perceptual Image Hashing
DRM '01 Revised Papers from the ACM CCS-8 Workshop on Security and Privacy in Digital Rights Management
Robust content-based image searches for copyright protection
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
A new robust circular Gabor based object matching by using weighted Hausdorff distance
Pattern Recognition Letters
An efficient parts-based near-duplicate and sub-image retrieval system
Proceedings of the 12th annual ACM international conference on Multimedia
An image retrieval technique using rotationally invariant Gabor features and a localization method
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Texture classification using Gabor wavelets based rotation invariant features
Pattern Recognition Letters
Video copy detection: a comparative study
Proceedings of the 6th ACM international conference on Image and video retrieval
Rotation Invariant Image Classification Based on MPEG-7 Homogeneous Texture Descriptor
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
DCT Sign-Based Similarity Measure for JPEG Image Retrieval
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Image copy detection with rotating tolerance
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
A New Approach to Image Copy Detection Based on Extended Feature Sets
IEEE Transactions on Image Processing
A BoF model based CBCD system using hierarchical indexing and feature similarity constraints
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
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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.