Optimal Training Set Selection for Video Annotation
碩士 === 國立清華大學 === 電機工程學系 === 97 === Most learning-based video semantic analysis methods hope to obtain the good semantic model that require a large training set to achieve good performances. However, annotating a large video is labor-intensive and the training data set collection is not easy either....
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/28133091433393507547 |