1. Kyoto University Research Information Repository
2. 002_Thesis or Dissertation
3. 140 Doctoral Dissertation (Informatics)

Downloads: 269

Permalink : https://doi.org/10.14989/doctor.k22800

Title:	Deep Learning Approaches on the Recognition of Affective Properties of Images
Other Titles:	深層学習を用いた画像の情動的属性の認識
Authors:	Yamamoto, Takahisa
Author's alias:	山本, 卓永
Keywords:	Deep Learning Image Emotion Recognition Fashion Style Recognition Semantic Features Fine-Grained Features
Issue Date:	23-Sep-2020
Publisher:	Kyoto University
Conferring University:	京都大学
Degree Level:	新制・課程博士
Degree Discipline:	博士(情報学)
Degree Report no.:	甲第22800号
Degree no.:	情博第730号
Conferral date:	2020-09-23
Degree Call no.:	新制||情||125(附属図書館)
Degree Affiliation:	京都大学大学院情報学研究科知能情報学専攻
Examination Committee members:	(主査)准教授 中澤 篤志, 教授 西野 恒, 教授 鹿島 久嗣
Provisions of the Ruling of Degree:	学位規則第4条第1項該当
Rights:	学位規則第9条第2項により要約公開 Chapter 4 (from Section 4.1 to 4.4.1) (c)IEICE. Chapter 4 (from Section 4.1 to 4.4.1) is based on the work published in Takahisa Yamamoto and Atsushi Nakazawa: Fashion Style Classification through Separating an Input Image into Elements and Elements-based Learning, The Transaction of The Institute of Electronics, Information and Communication Engineers, vol. J102-D, no. 10, pp. 639-650, October 2019 (in Japanese). DOI:10.14923/transinfj.2019IEP0004; Chapter 4 (Section 4.5) (c)IEEE. Chapter 4 (Section 4.5) is based on the work published in Takahisa Yamamoto and Atsushi Nakazawa: Fashion Style Recognition Using Component-Dependent Convolutional Neural Networks, IEEE International Conference on Image Processing (ICIP), pp. 3397-3401, September 2019. DOI: 10.1109/ICIP.2019.8803622;
DOI:	10.14989/doctor.k22800
URI:	http://hdl.handle.net/2433/259068
dc.relation.haspart:	https://doi.org/10.14923/transinfj.2019IEP0004 https://doi.org/10.1109/ICIP.2019.8803622
Appears in Collections:	140 Doctoral Dissertation (Informatics)

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.