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Proceedings Paper

Compressed domain image retrieval: a comparative study of similarity metrics
Author(s): Maria Hatzigiorgaki; Athanassios N. Skodras
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Paper 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.

Paper Details

Date Published: 23 June 2003
PDF: 10 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.507669
Show Author Affiliations
Maria Hatzigiorgaki, Univ. of Patras (Greece)
Athanassios N. Skodras, Research Academic Computer Technology Institute (Greece)
Hellenic Open Univ. (Greece)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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