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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Bibliographic Details
Main Authors: Lim, Phei-Chin, Kulathuramaiyer, Narayanan, Dayang NurFatimah, Awg. Iskandar
Format: E-Article
Language:English
Published: International Journal of Image Processing 2011
Subjects:
Online Access:http://ir.unimas.my/id/eprint/1687/1/towards%2Bsemantic%2Bclustering%2B-%2Ba%2Bbrief%2Boverview%2528abstract%2529.pdf
http://ir.unimas.my/id/eprint/1687/
http://ir.unimas.my/1687/1/towards%2Bsemantic%2Bclustering%2B-%2Ba%2Bbrief%2Boverview%2528abstract%2529.pdf
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Institution: Universiti Malaysia Sarawak
Language: English
Description
Summary: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.