Towards Semantic Clustering–A Brief Overview

• Main Authors: Lim, Phei-Chin, Kulathuramaiyer, Narayanan, Dayang NurFatimah, Awg. Iskandar
• Format: E-Article
• Language: English
• Published: International Journal of Image Processing 2011
• Subjects: AC Collections. Series. Collected works; T Technology (General)
• 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
• Institution: Universiti Malaysia Sarawak

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.