2011 Fiscal Year Final Research Report
Query-by-sketch image retrieval using data mining for bridging semantic gap
| Project/Area Number |
21700155
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Shizuoka University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Keywords | 知識発見とデータベース / 画像情報処理 |
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| Research Abstract |
The purpose of this study is to bridge the semantic gap between image feature and human subjective using data-mining from huge image data, sketch images and user evaluations and to improve the effectiveness and efficiency of interactive query-by-sketch image retrieval. The query-by-sketch image retrieval using sketch prediction is focused on online stroke. Sketch prediction enables users to obtain target retrieval images without completely finishing input sketch and to bridge the semantic gap.
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