| Paper Abstract and Keywords |
| Presentation |
2021-02-18 13:25
A Note on Estimation of Semantic Content Based on a Question Answering Model Using Brain Activity Data while Viewing Images
-- Improvement of Estimation Performance Based on Fine-tuning of the VQA model --
Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we propose a semantic content estimation method based on a question and answer generation model using brain activity data during image gazing. The proposed method transforms fMRI data into image features and estimates semantic contents of gazed images using a Visual Question Answering (VQA) model to generate answers to questions about images. Furthermore, by fine-tuning the VQA model using brain activity data, it is possible to consider the image features' characteristics even when they are not estimated with high accuracy, and we can improve the estimation accuracy. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Brain decoding / functional Magnetic Resonance Imaging / Visual Question Answering / fine-tuning / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 45, no. 4, ME2021-6, pp. 27-31, Feb. 2021. |
| Paper # |
ME2021-6 |
| Date of Issue |
2021-02-11 (MMS, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IEICE-IE IEICE-ITS MMS ME AIT |
| Conference Date |
2021-02-18 - 2021-02-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2021-02-IE-ITS-MMS-ME-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Note on Estimation of Semantic Content Based on a Question Answering Model Using Brain Activity Data while Viewing Images |
| Sub Title (in English) |
Improvement of Estimation Performance Based on Fine-tuning of the VQA model |
| Keyword(1) |
Brain decoding |
| Keyword(2) |
functional Magnetic Resonance Imaging |
| Keyword(3) |
Visual Question Answering |
| Keyword(4) |
fine-tuning |
| Keyword(5) |
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| 1st Author's Name |
Saya Takada |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Ren Togo |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Takahiro Ogawa |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name |
Miki Haseyama |
| 4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2021-02-18 13:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
ME |
| Paper # |
MMS2021-6, ME2021-6, AIT2021-6 |
| Volume (vol) |
vol.45 |
| Number (no) |
no.4 |
| Page |
pp.27-31 |
| #Pages |
5 |
| Date of Issue |
2021-02-11 (MMS, ME, AIT) |