Color distribution analysis and quantization for image retrieval

Xia Wan; C.-C. Jay Kuo

doi:10.1117/12.234782

13 March 1996 Color distribution analysis and quantization for image retrieval

Xia Wan, C.-C. Jay Kuo

Proceedings Volume 2670, Storage and Retrieval for Still Image and Video Databases IV; (1996) https://doi.org/10.1117/12.234782
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Color space selection and quantization are critical to content-based image retrieval based on color histograms. In this work, we first examine the color distribution in different color spaces including RGB, HSV, YUV and Munsell spaces and discuss the appropriate quantization strategies in these color spaces based on the distribution of colors. Then, we propose a color quantization scheme which applies the Lloyd-Max quantizer along each axis independently. The proposed scheme is simple yet efficient. Retrieval using the proposed quantization scheme on different color spaces are compared through experiments.

Citation Download Citation

Xia Wan and C.-C. Jay Kuo "Color distribution analysis and quantization for image retrieval", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); https://doi.org/10.1117/12.234782

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