Understanding Concrete and Abstract Representations in Art
| Project/Area Number |
20K19822
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 61010:Perceptual information processing-related
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| Research Institution | Osaka University |
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Principal Investigator |
GARCIA・DOCAMPO NOA 大阪大学, データビリティフロンティア機構, 特任助教(常勤) (80870005)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Project Status |
Granted (Fiscal Year 2021)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2021: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2020: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | automatic art analysis / art description / artwork recognition / visual recognition / image captioning / art analysis / visual understanding / deep neural networks / transfer learning / question answering |
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| Outline of Research at the Start |
This research studies how machines can understand and interpret art as we humans do. When we look at a painting, we "read" it by recognizing its depicted objects, its emotions, its style, etc. By using machine learning tools, we will replicate this behavior and provide new interpretations of art.
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| Outline of Annual Research Achievements |
In this project, we have investigated low and high-level visual representations for art images. Low-level representations contain specific and detailed information about the style and textures of the image. This is helpful to identify a specific pieace of art from a large catalog. On the other hand, high-level representations contain more contextual information, which is can be used to explain certain aspects of the artwork such as the year of creation, the author, ot the topic.
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| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
Due to the coronavirus pandemic, the project has been slightly delayed until the end of 2022.
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| Strategy for Future Research Activity |
The plan for the next months research is to finish the project and investigate how visual representations from paintings can capture human emotions.
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Report
(2 results)
Research Products
(24 results)
