Cart (Loading....) | Create Account
Close category search window
 

Automatic Feature Extraction and Semantic Feature Matrix for VRML Building Database Retrieval

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

2 Author(s)
Chang, H.T. ; Dept. of Electr. Eng., Nat. Yunlin Univ. of Sci & Technol. ; Chang, K.Y.

A semantic content based information retrieval system for a three-dimensional (3-D) database is proposed in this paper. Here the studied database is composed of 3-D building objects defined by virtual reality modeling language (VRML). First of all, the specific low-level features for building objects are defined and then searched and extracted from the content described in the VRML file. Then, a semantic feature matrix (SFM) is constructed with the middle-level features that determined from the low-level features of all the objects in the database. For a query object, a similar process is applied such that the low-level features and the corresponding semantic vector can be obtained. By multiplying the SFM with the query vector, the scores corresponding to the similarities between the query and all objects in the database can be calculated. Simulation results show that the desired 3-D objects can be successfully and efficiently retrieved with high recall and precision rates

Published in:

Multimedia Signal Processing, 2005 IEEE 7th Workshop on

Date of Conference:

Oct. 30 2005-Nov. 2 2005

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.