An integrated color-spatial approach to content-based image retrieval
Proceedings of the third ACM international conference on Multimedia
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Content-Based Copy Detection Scheme
Fundamenta Informaticae
SVD-based digital image watermarking scheme
Pattern Recognition Letters
PicToSeek: combining color and shape invariant features for image retrieval
IEEE Transactions on Image Processing
Spatiotemporal sequence matching for efficient video copy detection
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a novel scheme to detect copied versions of digital images, particularly in an Internet environment based on edge information of images. The edge information is used to generate the signature set for a corresponding image. The edge-based signature sets are then used to compute the distortions between query images and test images, from among which a user wants to find copies. Experimental results confirm that the proposed scheme not only withstands various modifications of an original image but also offers good detection performance in dealing with various rotations, shifting of 17.5% of the width or height of an image, and cutting out up to 45% of the area of an image, which previous research work has found difficult to detect. Therefore, our proposed scheme could be very helpful in detecting copies of digital images transmitted in an Internet environment.