Lim, Phei-Chin and Kulathuramaiyer, Narayanan and Dayang NurFatimah, Awg. Iskandar (2011) Towards Semantic Clustering–A Brief Overview. Dayang NurFatimah, 4.
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Abstract
Image clustering is an important technology which helps users to get hold of the large amount of online visual information, especially after the rapid growth of the Web. This paper focuses on image clustering methods and their application in image collection or online image repository. Current progress of image clustering related to image retrieval and image annotation are summarized and some open problems are discussed. Related works are summarized based on the problems addressed, which are image segmentation, compact representation of image set, search space reduction, and semantic gap. Issues are also identified in current progress and semantic clustering is conjectured to be the potential trend. Our framework of semantic clustering as well as the main abstraction levels involved is briefly discussed.
| Item Type: | Article |
|---|---|
| Additional Information: | Universiti Malaysia Sarawak, UNIMAS, semantic clustering, image clustering, |
| Uncontrolled Keywords: | Universiti Malaysia Sarawak, UNIMAS, semantic clustering, image clustering, IPTA, education, sarawak, kuching, malaysia, samarahan, universiti, university |
| Subjects: | A General Works > AC Collections. Series. Collected works T Technology > T Technology (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 09 Apr 2014 03:47 |
| Last Modified: | 23 Mar 2015 07:18 |
| URI: | http://ir.unimas.my/id/eprint/1687 |
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