By Topic

Dominant color region based indexing for CBIR

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ravishankar, K.C. ; Dept. of Comput. Sci. & Eng., Malnad Coll. of Eng., Hassan, India ; Prasad, B.G. ; Gupta, S.K. ; Biswas, K.K.

Our world is dominated by visual information and a tremendous amount of such information is being added day-by-day. It would be impossible to cope with this explosion of visual data, unless they are organized such that we can retrieve them efficiently and effectively. The main problem in organizing and managing such visual data is indexing, the assignment of a synthetic descriptor which facilitates its retrieval. It involves extracting relevant entities or characteristics from images as index keys. Then a representation is chosen for the keys and specific meaning is assigned to it. Color is an important cue for content based image retrieval (CBIR) systems. We propose a technique to index and store images based on dominant color regions. Features like region size and location of the region are extracted and used as similarity measures. Images with similar indices are stored as an image cluster in a Hash table. A prototype of the retrieval system is developed using the JAVA language

Published in:

Image Analysis and Processing, 1999. Proceedings. International Conference on

Date of Conference: