Region-based Image Retrieval Using Semantic Mining
スポンサーリンク
概要
- 論文の詳細を見る
In this paper, a multi-level image representation model is developed and used to mine semantic feature hidden in the original remote sensing image. This model is consisted of three levels : region level, region feature level and semantic level. The first two levels aim at represent image content by using region feature. Semantic level aims at extracting hidden semantic feature. At last, interested part and uninterested part method is used to improve the retrieval precision. Experiment shows that this method can well improve the accuracy of the retrieval result.
- 同志社大学の論文
著者
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Muramatsu Kanako
Department of Advanced Information and Computer Sciences, School of Interdisciplinary Scientific Phe
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Daigo Motomasa
Doshisha University
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Muramatsu Kanako
Department Of Advanced Information And Computer Sciences School Of Interdisciplinary Scientific Phen
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Liu Tingting
Wuhan Univeristy China Nara Women's University
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Li Pingxiang
Wuhan University, China
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Zhang Liangpei
Wuhan University, China
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Li Pingxiang
Wuhan University China
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Zhang Liangpei
Wuhan University China
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