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23 June 2003 Compressed domain image retrieval: a comparative study of similarity metrics
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Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.507669
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
Abstract
Content based image retrieval has gained considerable attention in nowadays as a very useful tool in a plethora of applications. Web has become the most important application, because over 70% of it is devoted to images, and looking for a specific image is a really daunting task. The vast majority of these images are JPEG compressed. An extensive study of eighteen similarity measures used for image retrieval has been conducted and the corresponding results are reported in the present communication. The energy histograms of the low frequency DCT coefficients have been used as the feature space for similarity testing. Query-by-image-example was used in all tests.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria Hatzigiorgaki and Athanassios N. Skodras "Compressed domain image retrieval: a comparative study of similarity metrics", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.507669
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