Compressed domain image retrieval: a comparative study of similarity metrics

Maria Hatzigiorgaki; Athanassios N. Skodras

doi:10.1117/12.507669

23 June 2003 Compressed domain image retrieval: a comparative study of similarity metrics

Maria Hatzigiorgaki, Athanassios N. Skodras

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available