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|Title:||Image mining: Trends and developments||Authors:||Hsu, W.
|Keywords:||Association rule mining
Image indexing and retrieval
|Issue Date:||2002||Citation:||Hsu, W., Lee, M.L., Zhang, J. (2002). Image mining: Trends and developments. Journal of Intelligent Information Systems 19 (1) : 7-23. ScholarBank@NUS Repository. https://doi.org/10.1023/A:1015508302797||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.||Source Title:||Journal of Intelligent Information Systems||URI:||http://scholarbank.nus.edu.sg/handle/10635/38967||ISSN:||09259902||DOI:||10.1023/A:1015508302797|
|Appears in Collections:||Staff Publications|
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