研究発表 - 藤代　一成

総合討論：人間を織り活かす総合知をもたらす可視化を目指して

竹島 由里子，清水 美穂（モデレータ），藤代 一成，田中 覚，伊藤 貴之，跡見 順子，塩満 典子， 小山田 耕二，萩原 一郎

日本学術会議公開シンポジウム「科学的知見の創出に資する可視化 (7)：人間を織り活かす総合知をもたらす「視考」 （オンライン） , 

2021年12月

　概要を見る

総合知を獲得するうえで可視化が果たす役割に関して，登壇発表者を中心にパネル討論を行った．講演ビデオ：https://www.arc.ritsumei.ac.jp/j/news/pc/012773.html

Making Effective Queries on Time-Varying Multi-Dimensional Datasets

Issei Fujishiro

CSIG-VIS International Lecture Series 5 （Online） , 

2021年11月

, 

口頭発表（招待・特別）, China Society of Image and Graphics, Technical Committee on Visualization and Visual Analysis

　概要を見る

Many problems are observed in the form of time-varying multi-dimensional datasets. In this lecture, we will discuss how large datasets of this kind are visually explored, with a particular focus on two kinds of dynamic visual querying, namely, query by example and query by sketch. These querying approaches serve as more efficient ways of identifying observable and recurring time variation patterns in long-term datasets. Dynamic visual querying is amplified with an auxiliary mechanism called “fact-guided querying,” which is intended to iteratively refine queries and results by specifying a query on the basis of the findings of a previous query. The efficacy of these concepts will be illustrated with actual analysis examples executed in a visual analytics environment called TimeTubeX for blazar observation research.

公開用PDF1

TimeTubesX: A query-driven visual exploration of observable, photometric, and polarimetric behaviors of blazars

Naoko Sawada, Makoto Uemura, Johanna Beyer, Hanspeter Pfister, Issei Fujishiro

IEEE VIS 2021 （Online） , 

2021年10月

, 

口頭発表（一般）, IEEE

　概要を見る

This is a conference presentation of the paper with the same title, published in IEEE Transactions on Visualization and Computer Graphics.

歩行経路マップに基づく自然景観モデリング支援

西田良輔，藤代 一成

第７回ADADA Japan 学術大会 （オンライン開催） , 

2021年10月

, 

口頭発表（一般）

縦編みレースの特徴抽出とラッピングを考慮した画像変換デザイン

多田一輝，藤代 一成

第７回ADADA Japan 学術大会 （オンライン開催） , 

2021年10月

, 

口頭発表（一般）

深層学習を用いた書道作品における書体変換—行書の作品生成—

二ノ宮梢平，藤代 一成

第７回ADADA Japan 学術大会 （オンライン開催） , 

2021年10月

, 

口頭発表（一般）

指ビューファインダーと仮想空間シーンの心理的拡大

星川潤，藤代 一成

第７回ADADA Japan 学術大会 （オンライン開催） , 

2021年10月

, 

口頭発表（一般）

The Cyclopean eye: Pinpointed anamorphosis for personal stereoscopic views

Issei Fujishiro

Cyberworlds 2021 （Cean (hybrid)） , 

2021年09月

, 

口頭発表（招待・特別）

　概要を見る

Inspired by the trick artworks of Hideyuki Nagai, a young Japanese artist, we have developed a simple naked-eye stereoscopic viewing system for personal use. It induces motion parallax through the orthogonal arrangement of two general-purpose display monitors and combining anamorphosis, known as monocular illusion expression, with tracking the viewer’s eyes. However, the stereoscopic effect perceived by the viewer can be degraded when using small display monitors due to binocular disparity. In this talk, I sketch our latest idea of pinpointing the anamorphosis effect by identifying the different degrees of contribution the two eyes make when recognizing the composition of a synthetic space. We have empirically proved that rather than detecting and tracking the dominant eye, the sense of presence is possibly improved by placing a so-called Cyclopean eye at a certain internal position between the two eyes to obtain the pinpointed anamorphosis. We report on a trial porting of this proposed approach to a commercially available laptop PC with a foldable display and present a few examples of immersive cyberworlds.

IEEE VIS ACC 2021 事前報告

藤代 一成

2021年度可視化合宿 （オンライン） , 

2021年09月

FORSETI: A visual analysis environment for authoring autopsy reports in extended legal medicine mark-up language

Issei Fujishiro, Baoqing Wang

CGI Workshop in memory of Prof. Tosiyasu L. Kunii （onlile） , 

2021年09月

, 

口頭発表（招待・特別）, Computer Graphics Society

　概要を見る

Prof. Tosiyasu L. Kunii passed away in November 2020. He had been a professor at Department of Information Sciences, Faculty of Science, the University of Tokyo and was the founding president of the University of Aizu. CGI 2021 held a workshop in memory of Prof. Kunii since the conference was founded by him in 1987. Fujishiro started his carrier as an assistant professor to work with Prof. Kunii at the University of Tokyo in 1985 and hence, he was invited to provide a talk for the workshop. Fujishiro picked up a topic of FORSETI, a computational forensic visualization system under development. It is because in 1985, the first paper coauthored by Prof. Kunii and Fujishiro proposed a medical imaging method. The paper was published in the second volume of the Visual Computer journal, which was also initiated by Prof. Kunii as the first editor in chief in 1985. Following Fujishiro’s brief message in homage to Prof. Kunii, the main body of the talk was delivered by Baoqing Wang (D3). The original paper on FORSETI is to be published in a forthcoming issue in memory of Prof. Kunii of the Visual Computer Journal.

Panel at C-J Vis 2021

Issei Fujishiro, Baoqing Wang, Shigeo Takahashi, Naohisa Sakamoto, Koji Koyamada, Takayuki Itoh, Kazuo Misue, Xiaoru Yuan, Jiawan Zhang, Gang Liu, Shen Ying, Jun Tao, Chongke Bi, Wei Zeng, Lingyun Yu, Le Liu

Fourth Chinese-Japanese Joint Visualization Workshop (C-J Vis 2021) （Wuhan, China (online)） , 

2021年07月

, 

口頭発表（招待・特別）, China-Japan Visualization Consortium

　概要を見る

The following three topics were discussed:

1. To extend the influence of the Asian visualization community in the visualization field, besides of ChinaVis and the Journal of Visualization, how can we further explore the collaboration possibilities between CSIG-VIS and the visualization community in Japan?

2. Can you discuss the interaction between visualization and other domain fields. For instance, what implications does the development of AI have in the field of visualization? How can visualization and visual analytics be applied in emerging topics like Tokyo Olympics, Peking winter Olympics, and the Covid-19 pandemic?

3. Do you have any suggestions for visualization researchers, especially those doing scientific visualization on how shall we adopt display and interaction modalities. For instance, how to develop visualizations in VR/AR environment? How shall we conduct user studies to make the visualizations more convincing?



FORSETI and THEMIS: Visual analysis environments for computational forensics

Baoqing Wang, Yume Asayama, Issei Fujishiro

Fourth Chinese-Japanese Joint Visualization Workshop (C-J Vis 2021) （Wuhan, China (online)） , 

2021年07月

, 

口頭発表（招待・特別）, China-Japan Visualization Consortium

　概要を見る

In this talk, the latest results of the Computational Forensics project were introduced with focus on the systems FORSETI and THEMIS.

Visual exploration of time-varying multi-dimensional datasets

Issei Fujishiro

2021 International Summer School on Visual Analytics （Hangzhou, China） , 

2021年07月

, 

口頭発表（招待・特別）, Zhejiang University

　概要を見る

Many problems are observed in the form of time-varying multi-dimensional datasets. In this lecture, we will discuss how to visually explore large datasets of that kind, with a particular focus on automatic feature extraction, dynamic visual querying, and clustering. Automatic feature extraction is dedicated to the discovery of dynamic time variations over multiple variables and their characteristic derivatives. Dynamic visual querying provides more efficient exploration of recurring time variation patterns and subsequences to validate specific hypotheses. Clustering helps to identify hidden universalities in a long-term dataset by classifying subsequences according to their similarities. These concepts will be illustrated with several examples executed in a system, called TimeTubeX, for blazar observation research.

Finding features in erratic polarization variations of blazars

Makoto Uemura, Mahito Sasada, Naoko Sawada, Issei Fujishiro

International Astronomical Union Symosium 360 Astronomical Polarimetry 2020 （Hiroshima） , 

2021年03月

HPU の役割と意義

藤代 一成

慶應義塾湘南藤沢中等部・高等部，科学入門講座（模擬講義）, 

2021年03月

, 

公開講演，セミナー，チュートリアル，講習，講義等

コンピュータビジュアリゼーション：計算眼科学，計算法科学，計算天文学

藤代一成

アーク情報システム技術勉強会 （オンライン） , 

2021年03月

, 

口頭発表（招待・特別）, アーク情報システム

　概要を見る

研究室で2019～2020年度に発表した可視化技術の事例をまとめて紹介した．

aflak: 天文学マルチスペクトルデータの視覚解析ビジュアルプログラミング環境—概念，システム，応用—

藤代 一成，打木 陸雄

可視化情報学会第 4 回ビジュアリゼーションワークショップ, 

2021年02月

, 

可視化情報学会

フォトリアルなサイバー空間構築を支える CG 技術

藤代 一成，石飛 晶啓，大河原 将

KEIO TECHNO-MALL 2020（第21回慶應科学技術展） （オンライン開催） , 

2020年12月

, 

その他, 慶應義塾大学理工学部

パネル討論：ICT/ビッグデータ時代の文理融合研究を探る

田中 覚(ファシリテータ)，山口 欧志，李 亮，樋口 耕一，美馬 秀樹，小沢 高広，山西 良典， 渡辺 美代子，小山田 耕二，藤代 一成

日本学術会議公開シンポジウム「科学的知見の創出に資する可視化 (5)：ICT ／ビッグデータ時代の文理融合研究を支援する可視化」 （オンライン） , 

2020年12月

CG・可視化ー先進事例と研究開発の最近動向ー

藤代一成

アーク情報システム技術勉強会 （オンライン） , 

2020年12月

, 

口頭発表（招待・特別）, アーク情報システム

　概要を見る

研究室で2019～2020年に発表したCGおよび可視化技術の事例をまとめて紹介した．