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Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 52-424
Full Name: Chu-Hui Lee
Position: Associate Professor
Age: ON
Sex: Female
Address: 168, Jifong East Road, Wufong Township, Taichung County 41349, Taiwan (R.O.C.)
Country: TAIWAN
Tel: 886-4-23323000
Tel prefix: 4388
Fax: 886-4-23742337
E-mail address: chlee@cyut.edu.tw
Other E-mails:
Title of the Paper: An Improvement Strategy for Multi-query Image Retrieval
Authors as they appear in the Paper: Chu-Hui Lee and Meng-Feng Lin
Email addresses of all the authors: chlee@cyut.edu.tw,s9533902@cyut.edu.tw
Number of paper pages: 10
Abstract: Content-Based Image Retrieval (CBIR) leads a central role in the multimedia database. The traditional CBIR is often established on single-query image method. However, multi-query has been applied to capture information more precisely in CBIR. There are many applications are interesting on the multi-query. For example, a registered 3D-trademark has different angles images for recognition. A stereo image is constituted by two images from different viewpoint. A set of images helps to represent the scene or trademark. Multi-query strategy will be a suitable mechanism for the retrieval relevant 3D-trademark or stereo image in CBIR. Each image in multi-query has its visual representation in user¡¦s respect and major low-level features. How to integrate multi-query properly in the query processing is an important issue. This study proposes Multi-Query Image Retrieval (MQIR) to support multi-query and low-level feature integration. The relevant images are selected based on!
user¡¦s query preference in multi-query. Experimental results present that the proposed approach is more accurate to improve retrieval performance and provides better retrieval results. The proposed multi-query approach was provided to help the query processing in CBIR system.
Keywords: Content-based image retrieval, Multi-query, Query processing, Similarity measurement
EXTENSION of the file: .pdf
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