The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 89-542
Full Name: Wichian Premchaiswadi
Position: Associate Professor
Age: ON
Sex: Male
Address: 235 Petkasem Rd., Phasicharoen, Bangkok, 10160
Country: THAILAND
Tel: 869827474
Tel prefix: 66
Fax: 28686885
E-mail address: wichian@siam.edu
Other E-mails: wichianprem@gmail.com
Title of the Paper: On-line Content-Based Image Retrieval System using Joint Querying and Relevance Feedback Scheme
Authors as they appear in the Paper: Wichian Premchaiswadi, Anucha Tungkasthan
Email addresses of all the authors: wichian@siam.edu, aimdala@hotmail.com
Number of paper pages: 10
Abstract: In a high-level semantic retrieval process, we utilize the search engine to retrieve a large number of images using a given text-based query. In a low-level image retrieval process, the system provides a similar image search function for the user to update the input query for image similarity characterization. This paper presents an On-line Content-Based Image Retrieval System using joint querying and relevance feedback scheme based on both high-level and low-level features. We also introduce fast and efficient color feature extraction namely auto color correlogram and correlation (ACCC) based on color correlogram (CC) and autocorrelogram (AC) algorithms, for extracting and indexing low-level features of images. To incorporate an image analysis algorithm into the text-based image search engines without degrading their response time, the framework of multi-threaded processing is proposed. The experimental evaluations based on coverage ratio measure show that our sch!
eme significantly improves the retrieval performance of existing image search engine.
Keywords: joint querying, image retrieval, ACCC, on-line CBIR, CBIR, relevance feedback
EXTENSION of the file: .pdf
Special (Invited) Session: Joint querying and relevance feedback scheme for an on-line image retrieval system
Organizer of the Session: 696-142
How Did you learn about congress: Prof.Dr.James G. Williams, Emeratus professor, University of Pittsburgh, jellybeanjw@atmc.net
IP ADDRESS: 110.164.241.28
