Towards Semantic Clustering–A Brief Overview

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 progr...

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Main Authors: Lim, Phei-Chin, Kulathuramaiyer, Narayanan, Dayang NurFatimah, Awg. Iskandar
Format: Article
Language:English
Published: International Journal of Image Processing 2011
Subjects:
Online Access:http://ir.unimas.my/id/eprint/1687/
http://ir.unimas.my/id/eprint/1687/1/towards%2Bsemantic%2Bclustering%2B-%2Ba%2Bbrief%2Boverview%2528abstract%2529.pdf
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author Lim, Phei-Chin
Kulathuramaiyer, Narayanan
Dayang NurFatimah, Awg. Iskandar
author_facet Lim, Phei-Chin
Kulathuramaiyer, Narayanan
Dayang NurFatimah, Awg. Iskandar
author_sort Lim, Phei-Chin
building UNIMAS Institutional Repository
collection Online Access
description 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.
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institution Universiti Malaysia Sarawak
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language English
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publishDate 2011
publisher International Journal of Image Processing
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spelling unimas-16872015-03-23T07:18:07Z http://ir.unimas.my/id/eprint/1687/ Towards Semantic Clustering–A Brief Overview Lim, Phei-Chin Kulathuramaiyer, Narayanan Dayang NurFatimah, Awg. Iskandar AC Collections. Series. Collected works T Technology (General) 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. International Journal of Image Processing 2011 Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/1687/1/towards%2Bsemantic%2Bclustering%2B-%2Ba%2Bbrief%2Boverview%2528abstract%2529.pdf Lim, Phei-Chin and Kulathuramaiyer, Narayanan and Dayang NurFatimah, Awg. Iskandar (2011) Towards Semantic Clustering–A Brief Overview. Dayang NurFatimah, 4. http://ir.unimas.my/1687/1/towards%2Bsemantic%2Bclustering%2B-%2Ba%2Bbrief%2Boverview%2528abstract%2529.pdf
spellingShingle AC Collections. Series. Collected works
T Technology (General)
Lim, Phei-Chin
Kulathuramaiyer, Narayanan
Dayang NurFatimah, Awg. Iskandar
Towards Semantic Clustering–A Brief Overview
title Towards Semantic Clustering–A Brief Overview
title_full Towards Semantic Clustering–A Brief Overview
title_fullStr Towards Semantic Clustering–A Brief Overview
title_full_unstemmed Towards Semantic Clustering–A Brief Overview
title_short Towards Semantic Clustering–A Brief Overview
title_sort towards semantic clustering–a brief overview
topic AC Collections. Series. Collected works
T Technology (General)
url http://ir.unimas.my/id/eprint/1687/
http://ir.unimas.my/id/eprint/1687/
http://ir.unimas.my/id/eprint/1687/1/towards%2Bsemantic%2Bclustering%2B-%2Ba%2Bbrief%2Boverview%2528abstract%2529.pdf