By Topic

Slim-tree and BitMatrix index structures in image retrieval system using MPEG-7 Descriptors

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)
Açar, E. ; Dept. of Comput. Eng., Middle East Tech. Univ., Ankara ; Arslan, S. ; Yazici, A. ; Koyuncu, M.

Content-based retrieval of multimedia data has still been an active research area. The efficient retrieval in natural images has been proven a difficult task for content-based image retrieval systems. In this paper, we present a system that adapts two different index structures, namely Slim-Tree and BitMatrix, for efficient retrieval of images based on multidimensional low-level features such as color, texture and shape. These index structures also use metric space. We use MPEG-7 Descriptors extracted from images to represent these features and store them in a native XML database. The low-level features; color layout (CL), dominant color (DC), edge histogram (EH) and region shape (RS) are used in Slim-Tree and BitMatrix and aggregated by ordered weighted averaging (OWA) method to find final similarity between any two objects. The experiments included in the paper are in the subject of index construction and update, query response time and retrieval effectiveness using ANMRR performance metric and precision/recall scores. The experimental results strengthen the case that uses BitMatrix along with ordered weighted averaging method in content-based image retrieval systems.

Published in:

Content-Based Multimedia Indexing, 2008. CBMI 2008. International Workshop on

Date of Conference:

18-20 June 2008