Image mining: trends and developments

Hsu, Wynne and Lee, Mong Li and Zhang, Ji (2002) Image mining: trends and developments. Journal of Intelligent Information Systems, 19 (1). pp. 7-23. ISSN 0925-9902

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Abstract

[Abstract]: Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful information to the human users. Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. Image mining is more than just an extension of data mining to image domain. It is an interdisciplinary endeavor that draws upon expertise in computer vision, image processing, image retrieval, data mining, machine learning, database, and artificial intelligence. In this paper, we will examine the research issues in image mining, current developments in image mining, particularly, image mining frameworks, state-of-the-art techniques and systems. We will also identify some future research directions for image mining.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author's version deposited in accordance with the copyright policy of the publisher.
Depositing User: Dr Ji Zhang
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 24 Sep 2009 23:57
Last Modified: 02 Jul 2013 23:23
Uncontrolled Keywords: image mining, image indexing and retrieval, object recognition, image classification, image clustering, association rule mining
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
Identification Number or DOI: doi: 10.1023/A:1015508302797
URI: http://eprints.usq.edu.au/id/eprint/5630

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