An integrated color-spatial approach to content-based image retrieval
Proceedings of the third ACM international conference on Multimedia
Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image retrieval system based on color-complexity and color-spatial features
Journal of Systems and Software
Robust image copy detection using multi-resolution histogram
Proceedings of the international conference on Multimedia information retrieval
A novel image copy detection scheme based on the local multi-resolution histogram descriptor
Multimedia Tools and Applications
Multimedia Tools and Applications
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In 2003, Kim applied the discrete cosine transform (DCT) technique to propose a content-based image copy detection method. He successfully detected the copies both with and without modifications, and his method is the first to detect the copies with water coloring and twirling modifications. However, Kim's method can only detect copies having a 180^o rotation. When copies have a 90^o or 270^o rotation, Kim's method fails to discover them. Also, his method cannot deal with copies having only minor rotations of 1^o or 5^o, and so on. To conquer this weakness, we propose an elliptical track division strategy to extract two kinds of features in the design of our proposed methods. Furthermore, we propose a dynamic center point detection mechanism for the elliptical track of each image to deal with the shifting process. The experimental results confirm that both proposed methods can successfully capture the features of an image even if it is shifted, cropped or rotated to any degree. In addition, our hybrid method can further provide accurate detection performance for a variety of manipulations.