Prediction of Image Preferences from Spontaneous Facial Expressions-Reference-Cited by-同舟云学术

Prediction of Image Preferences from Spontaneous Facial Expressions

Published:2022 Issue:1 Volume:28 Page:45-53
ISSN:1340-9050
Container-title:Interdisciplinary Information Sciences
language:en
Short-container-title:IIS

Author:

SATO Yoshiyuki¹,HORAGUCHI Yuta²,VANEL Lorraine²,SHIOIRI Satoshi¹

Affiliation:

1. Advanced Institute for Yotta Informatics, Tohoku University

2. Graduate School of Information Sciences, Tohoku University

Publisher

Graduate School of Information Sciences, Tohoku University

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/iis/28/1/28_2022.A.02/_pdf

Reference43 articles.

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2. 2) Muraoka, H., et al., ``Gigantic amount information and storage technology: Challenge to Yotta-byte-scale informatics,'' IEICE Tech. Rep., 116(441): 27-32 (2017).

3. 3) Talebi, H., and Milanfar, P., ``NIMA: Neural image assessment,'' IEEE Trans. Image Process., 27(8): 3998-4011 (2018) doi: 10.1109/TIP.2018.2831899.

4. 4) Wang, H., et al., The Evaluation of Images Based on Human Preference with Convolutional Neural Networks, in Asia-Pacific Conference on Vision 2018 (2018).

5. 5) McDuff, D., El Kaliouby, R., Kodra, E., and Picard, R., Measuring Voter's Candidate Preference Based on Affective Responses to Election Debates, in Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013, pp. 369-374 (2013) doi: 10.1109/ACII.2013.67.

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