Human action concentric video retrieval system using features weight updating method as relevance feedback
Retrieving videos based on its contents is becoming an increasingly popular area of research, because of enormous growth in the availability of multimedia information on public databases like Google and YouTube. Usually videos contain large variety of data but majority of online videos contain human...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/51101/ http://apps.webofknowledge.com.ezproxy.utm.my/full_record.do?product=WOS&search_mode=GeneralSearch&qid=2&SID=P2dKpOzjmfD1umNCwlD&page=1&doc=1 |
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| Institution: | Universiti Teknologi Malaysia |