Image mining: issues, frameworks and techniques
Paper
Paper/Presentation Title | Image mining: issues, frameworks and techniques |
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Presentation Type | Paper |
Authors | Zhang, Ji (Author), Hsu, Wynne (Author) and Lee, Mong Li (Author) |
Editors | Zaïane, Osmar R. and Simoff, Simeon J. |
Journal or Proceedings Title | Proceedings of the 2nd ACM SIGKDD International Workshop on Multimedia Data Mining (MDM/KDD'01) |
Number of Pages | 7 |
Year | 2001 |
Place of Publication | Canada |
Web Address (URL) of Paper | http://www.cs.ualberta.ca/~zaiane/mdm_kdd2001/ |
Conference/Event | 2nd ACM SIGKDD International Workshop on Multimedia Data Mining (MDM/KDD'01) |
Event Details | 2nd ACM SIGKDD International Workshop on Multimedia Data Mining (MDM/KDD'01) Event Date 26 Aug 2001 Event Location San Francisco, USA |
Abstract | [Abstract]: Advances in image acquisition and storage technology have led to tremendous growth in significantly 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 |
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 | No evidence of copyright restrictions. |
Byline Affiliations | National University of Singapore |
https://research.usq.edu.au/item/9z2v4/image-mining-issues-frameworks-and-techniques
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