| Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2020: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2019: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2018: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
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| Outline of Final Research Achievements |
This research explored semantic representations for images with the aim of applying semantic analysis technologies of natural languages to visual information. Specifically, we developed a method for linking entities in an input image into database IDs and a technique for compositionally constructing semantic representations of images. In addition, we designed a new task of generating a caption given an image and a fragment of a semantic representation as input and showed the effectiveness of using semantic representations for images.
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