A framework for image enhancement via contextual information and epitome-based representation
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 recogniti...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://eprints.utm.my/1856/1/marzuki05_framework_image_enhancement.pdf http://eprints.utm.my/1856/ |
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| _version_ | 1845470557601005568 |
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| author | Chee, Seng Chan Liu, Honghai Tsz Ming, James Hui Brown, David J. Khalid, Marzuki |
| author_facet | Chee, Seng Chan Liu, Honghai Tsz Ming, James Hui Brown, David J. Khalid, Marzuki |
| author_sort | Chee, Seng Chan |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Conference or Workshop Item |
| id | my.utm.eprints-1856 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2005 |
| record_format | eprints |
| spelling | my.utm.eprints-18562011-05-19T02:29:12Z http://eprints.utm.my/1856/ A framework for image enhancement via contextual information and epitome-based representation Chee, Seng Chan Liu, Honghai Tsz Ming, James Hui Brown, David J. Khalid, Marzuki TK Electrical engineering. Electronics Nuclear engineering 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. 2005-12-04 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/1856/1/marzuki05_framework_image_enhancement.pdf 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. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Chee, Seng Chan Liu, Honghai Tsz Ming, James Hui Brown, David J. Khalid, Marzuki A framework for image enhancement via contextual information and epitome-based representation |
| title | A framework for image enhancement via contextual information and epitome-based representation |
| title_full | A framework for image enhancement via contextual information and epitome-based representation |
| title_fullStr | A framework for image enhancement via contextual information and epitome-based representation |
| title_full_unstemmed | A framework for image enhancement via contextual information and epitome-based representation |
| title_short | A framework for image enhancement via contextual information and epitome-based representation |
| title_sort | framework for image enhancement via contextual information and epitome-based representation |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/1856/1/marzuki05_framework_image_enhancement.pdf http://eprints.utm.my/1856/ |
| url_provider | http://eprints.utm.my/ |