Chee, Seng Chan and Liu, Honghai and Tsz Ming, James Hui and Brown, David J. and Khalid, Marzuki (2005) A framework for image enhancement via contextual information and epitome-based representation. In: Proceeding of the 9th International Conference on Mechatronics Technology, 5-8 December 2005, Kuala Lumpur.
Image enhancement in our understanding includes quality improvements and understanding improvement of a digital image or video. Our study focuses on the latter; this paper proposes a framework for image understanding using epitomes and contextual information in human-motion involved object recognition systems. The proposed has been raised when considering image enhancement with limited computational resources. We demonstrate the proposed with an example of recognizing a target object, i.e., a watch, on a walking man. First, we employ unsupervised learning to train the video in terms of epitomes, and then the classification of the watch is formulated as a search problem of finding the target pixels in the epitomes. Though the quality of the regenerated object is relatively low, the watch can be recognized with the aid of recent results from human motion analysis.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||image enhancement, digital image, epitomes, contextual information, human-motion, unsupervised learning|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Dr Zaharuddin Mohamed|
|Deposited On:||15 Mar 2007 08:35|
|Last Modified:||19 May 2011 02:29|
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