| Presentation | 2020-12-10 Slide Design Assessment Featuring Visual and Structural Analysis Shengzhou Yi, Junichiro Matsugami, Xueting Wang, Toshihiko Yamasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Appealing design of presentation slides is a great way to make the presentation more attractive and easier to understand. However, the design of slides is difficult to novices and there are limited support systems to help them by evaluating their slides. In this paper, the design problems of the presentation slides are recognized by proposed neural network based on the visual features and the structural features. The created dataset contains 856 slide pairs. For each slide pair, one slide was created by a novice and the other one was improved by the advices from professional consultants. Ten check points with high frequencies were summarized by the consultants, which are set as the prediction targets in this study. For the binary classification of each check point, the class distribution is very imbalanced, since only a small part of samples has the responding design problem. Therefore, recent machine learning methods for addressing class imbalance were applied to prediction and proved to be effective for improving the performance of the proposed model. The proposed neural network can achieve the average accuracies of 80.9% and 80.0% on the balanced and imbalanced dataset, respectively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Presentation SlideDesign AssessmentFeature FusionClass Imbalance |
| Paper # | AI2020-3 |
| Date of Issue | 2020-12-03 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2020/12/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online and HAMAMATSU ACT CITY |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Foundations and application technologies for AI systems on the new normal |
| Chair | Naoki Fukuta(Shizuoka Univ.) |
| Vice Chair | Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST) |
| Secretary | Yuichi Sei(Nagoya Inst. of Tech.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Slide Design Assessment Featuring Visual and Structural Analysis |
| Sub Title (in English) | |
| Keyword(1) | Presentation SlideDesign AssessmentFeature FusionClass Imbalance |
| 1st Author's Name | Shengzhou Yi |
| 1st Author's Affiliation | The University of Tokyo(UTokyo) |
| 2nd Author's Name | Junichiro Matsugami |
| 2nd Author's Affiliation | Rubato Co., Ltd.(Rubato) |
| 3rd Author's Name | Xueting Wang |
| 3rd Author's Affiliation | The University of Tokyo(UTokyo) |
| 4th Author's Name | Toshihiko Yamasaki |
| 4th Author's Affiliation | The University of Tokyo(UTokyo) |
| Date | 2020-12-10 |
| Paper # | AI2020-3 |
| Volume (vol) | vol.120 |
| Number (no) | AI-281 |
| Page | pp.pp.13-18(AI), |
| #Pages | 6 |
| Date of Issue | 2020-12-03 (AI) |