Exploiting the JPEG Compression Scheme for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Image Identification Methods for JPEG Images with Different Compression Ratios
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
DCT-Domain image retrieval via block-edge-patterns
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Image copy detection using a robust gabor texture descriptor
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
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We propose a method to retrieve similar and duplicate images from a JPEG (Joint Photographic Image Group) image database. Similarity level is decided based on the DCT (Discrete Cosine Transform) coefficients signs. The method is simple and fast because it uses the DCT coefficients signs as features, which can be obtained directly after partial decoding of JPEG bitstream. The method is robust to JPEG compression, in which similarity level of duplicate images, i.e., images that are compressed from the same original images with different compression ratios, is not disguised due to JPEG compression. Simulation results showed the superiority of the method compared to previous methods in terms of computational complexity and robustness to JPEG compression.