Presentation 2018-02-16
Objective Feedback Generation on Presentation Slide Design using CNN
Shinji Oyama, Toshihiko Yamasaki, Kiyoharu Aizawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Presentation slides are an effective way to deliver information in various fields. It has become easier to create slides due to the advancement of presentation software such as PowerPoint. However, it is still difficult for novices to design slides that are easy to understand as few slide evaluation methods exist, and we cannot objectively judge the quality of our slides. In this paper, new slide dataset is constructed by collecting 1,000 slides and giving clarity evaluation using ranking method. In addition, we generate clarity score and heat map which shows areas to be improved as objective feedback by learning the clarity of the slide design using a convolutional neural network. We conducted a user study and confirmed the effectiveness and problems of support for slide improvement by score and heat map.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) slides / dataset / impression prediction / convolutional neural network / user study
Paper # ITS2017-77,IE2017-109
Date of Issue 2018-02-08 (ITS, IE)

Conference Information
Committee ITS / IE / ITE-MMS / ITE-HI / ITE-ME / ITE-AIT
Conference Date 2018/2/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hokkaido Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Processing, etc.
Chair Takayoshi Yokota(Tottori Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Norihiko Ishii(NHK) / Masayuki Sato(Univ. of Kitakyushu) / Miki Haseyama(Hokkaido Univ.) / Nobuhiko Mukai(Tokyo Cisy Univ.)
Vice Chair Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.) / Kazuya Kodama(NII) / Hideaki Kimata(NTT) / / / Norio Tagawa(Tokyo Metropolitan Univ.) / Hisaki Nate(Tokyo Polytechnic Univ.)
Secretary Masahiro Fujii(Meiji Univ.) / Tomotaka Wada(Saitama Univ.) / Kazuya Kodama(Nagoya Univ.) / Hideaki Kimata(KDDI Research) / (NHK) / (NTT) / Norio Tagawa(NHK) / Hisaki Nate(NHK)
Assistant Msataka Imao(ME) / Yanlei Gu(Univ. of Tokyo) / Kenshi Saho(Toyama Prefectural Univ.) / Kouichiro Hashiura(Akita Prefectural Univ.) / Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT)

Paper Information
Registration To Technical Committee on Intelligent Transport Systems Technology / Technical Committee on Image Engineering / Technical Group on Multi-media Storage / Technical Group on Human Inormation / Technical Group on Media Engineering / Technical Group on Artistic Image Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Objective Feedback Generation on Presentation Slide Design using CNN
Sub Title (in English)
Keyword(1) slides
Keyword(2) dataset
Keyword(3) impression prediction
Keyword(4) convolutional neural network
Keyword(5) user study
1st Author's Name Shinji Oyama
1st Author's Affiliation The University of Tokyo(Univ. of Tokyo)
2nd Author's Name Toshihiko Yamasaki
2nd Author's Affiliation The University of Tokyo(Univ. of Tokyo)
3rd Author's Name Kiyoharu Aizawa
3rd Author's Affiliation The University of Tokyo(Univ. of Tokyo)
Date 2018-02-16
Paper # ITS2017-77,IE2017-109
Volume (vol) vol.117
Number (no) ITS-431,IE-432
Page pp.pp.223-228(ITS), pp.223-228(IE),
#Pages 6
Date of Issue 2018-02-08 (ITS, IE)