2021 Fiscal Year Research-status Report
Understanding Concrete and Abstract Representations in Art
| Project/Area Number |
20K19822
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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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| Keywords | automatic art analysis / art description / artwork recognition / visual recognition / image captioning |
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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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| Causes of Carryover |
Due to coronavirus pandemic, we could not use all the funding on the previous year.
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