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Image Mining: Trends and Developments

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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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Authors and Affiliations

  1. School of Computing, National University of Singapore, Singapore

    Wynne Hsu, Mong Li Lee & Ji Zhang

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  1. Wynne Hsu
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  2. Mong Li Lee
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  3. Ji Zhang
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Hsu, W., Lee, M.L. & Zhang, J. Image Mining: Trends and Developments. Journal of Intelligent Information Systems 19, 7–23 (2002). https://doi.org/10.1023/A:1015508302797

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