Image mining: trends and developments
Article
Article Title | Image mining: trends and developments |
---|---|
ERA Journal ID | 18019 |
Article Category | Article |
Authors | Hsu, Wynne (Author), Lee, Mong Li (Author) and Zhang, Ji (Author) |
Journal Title | Journal of Intelligent Information Systems |
Journal Citation | 19 (1), pp. 7-23 |
Number of Pages | 17 |
Year | 2002 |
Place of Publication | Netherlands |
ISSN | 0925-9902 |
1573-7675 | |
Digital Object Identifier (DOI) | https://doi.org/10.1023/A:1015508302797 |
Web Address (URL) | http://www.springerlink.com/content/7ty2k1dfh1duv6vv/?p=85da993f79c64e009a212ecaa43179a0&pi=26 |
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. |
Keywords | image mining, image indexing and retrieval, object recognition, image classification, image clustering, association rule mining |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | National University of Singapore |
https://research.usq.edu.au/item/9z285/image-mining-trends-and-developments
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