Basic technology for media content generation using micro task type crowdsourcing
Project/Area Number |
26240027
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Research Category |
Grant-in-Aid for Scientific Research (A)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Human interface and interaction
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Research Institution | The University of Tokyo |
Principal Investigator |
IGARASHI Takeo 東京大学, 大学院情報理工学系研究科, 教授 (80345123)
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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 |
¥42,380,000 (Direct Cost: ¥32,600,000、Indirect Cost: ¥9,780,000)
Fiscal Year 2016: ¥14,820,000 (Direct Cost: ¥11,400,000、Indirect Cost: ¥3,420,000)
Fiscal Year 2015: ¥14,820,000 (Direct Cost: ¥11,400,000、Indirect Cost: ¥3,420,000)
Fiscal Year 2014: ¥12,740,000 (Direct Cost: ¥9,800,000、Indirect Cost: ¥2,940,000)
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Keywords | ヒューマンコンピュータインタラクション / コンピュータグラフィックス |
Outline of Final Research Achievements |
We developed basic technology for media content generation using micro task type crowdsourcing. Human computation based on micro task type crowdsourcing is attracting attention as a technology that can solve problems that could not be solved by computers. However, the main application was centered on human beings to "understand" the meaning of information such as natural language processing and image recognition. In this research, unlike such conventional research, we studied how to use this technology for "media generation" such as image editing and 3D modeling. Specifically, research and development were conducted on methods of dividing task contents, methods of integrating work results, etc., for realizing advanced content generation processing from simple input by unspecified large number of non-experts.
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Report
(4 results)
Research Products
(8 results)
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[Presentation] Collaborative 3D Modeling by the Crowd2017
Author(s)
Ryohei Suzuki and Takeo Igarashi
Organizer
the 43rd International Conference on Graphics, Visualization & Human-computer Interaction (GI 2017)
Place of Presentation
University of Alberta(カナダ)
Year and Date
2017-05-16
Related Report
Int'l Joint Research
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