Query Prediction for Query-by-Sketch Image Retrieval
Project/Area Number |
26330135
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Multimedia database
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Research Institution | Shizuoka University |
Principal Investigator |
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Project Period (FY) |
2014-04-01 – 2017-03-31
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Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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Keywords | 画像検索 / クラスタリング / LSH / ハッシュ / SVM / クエリ / スマートデバイス |
Outline of Final Research Achievements |
The purpose of this study is to improve the efficiency of content based image retrieval by sketch. It is possible for this method to improve efficiency by the accuracy and the diversity of clustering. The proposed method is based on one of the speed-up techniques for similar image retrieval is Locality Sensitive Hashing method. This method realize to cluster features using discriminant function of Support Vector Machine as hash function and realize to keep effectiveness and improve efficiency.
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Report
(4 results)
Research Products
(7 results)
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[Presentation] 指先検出を用いたスケッチ画像検索2014
Author(s)
久保直樹,高須拓也,大橋剛介
Organizer
電気・電子・情報関係学会東海支部連合大会
Place of Presentation
中京大学(愛知県名古屋市)
Year and Date
2014-09-08 – 2014-09-09
Related Report
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