Universiti Teknologi Malaysia Institutional Repository

Effectiveness of relevance feedback for content based image retrieval using Gustafson-Kessel algorithm

Selamat, Ali and Ismail, Muhammad Khairi (2008) Effectiveness of relevance feedback for content based image retrieval using Gustafson-Kessel algorithm. In: Proceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development. Institute of Electrical and Electronics Engineers, New York, 455-459 . ISBN 978-142441692-9

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Official URL: http://dx.doi.org/10.1109/ICCCE.2008.4580646

Abstract

The performance of the Content Based Image Retrieval (CBIR) can compute using similarity of the images where user can retrieve from the image database. The term similarity in the mind of the user may different depends on the search query and the experience of the user which has been using the similar applications. When the users are not satisfied with their search results, the relevance feedback (RF) retrieval is one of the solutions for this critical problem. The user needs to use this feedback on the next retrieval process in order to increase the retrieval performance. In this paper, we have used a relevant feedback approach based on Gustafson-Kessel (GK) clustering approach in order to evaluate the effectiveness of the image retrieval results from the users. From the experiments, we have found that the RF method using Gustafson-Kessel (GK) clustering can improve the retrieval performance of the CBIR system even if we are using a large set of image datasets with a variety of images.

Item Type:Book Section
Additional Information:ISBN: 978-142441692-9; International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development; Kuala Lumpur; 13 May 2008 through 15 May 2008
Uncontrolled Keywords:content based retrieval, control theory, feedback, flow of solids, image enhancement, information retrieval, neural networks, photographic accessories, technology
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:12554
Deposited By: Liza Porijo
Deposited On:08 Jun 2011 08:13
Last Modified:08 Jun 2011 08:13

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