Faculty Profiles - NAGAO, Katashi

Presentations -

Division display >> ／ All the affair displays 1 - 92 of about 92

Cyber Trainground: Building-Scale Virtual Reality for Immersive Presentation Training International conference

Katashi Nagao, Yuto Yokoyama

IEEE Cyber Science and Technology Congress 2020 2020.8.17 IEEE

Event date： 2020.8

Language：English Presentation type：Oral presentation (general)

“Trainground” is a word we coined inspired by the word “playground.” It means a place for humans to perform various kinds of training and to also use machine learning to scientifically search for points they need to improve. The cyber trainground is an extension of the trainground to cyberspace. It enables training in virtual spaces that captures and reconstructs various types of information appearing in the real world, such as atmosphere and presence, to achieve an improvement effect that is the same or better than in the real world. In this paper, we build an immersive training space using building-scale VR, a technology that makes a virtual space based on an entire building existing in the real world. The space is used for presentations, allowing students to self-train. The results of a presentation are automatically evaluated by using machine learning or the like and fed back to the user. In this space, users can meet their past selves (more accurately, their avatars), so they can objectively observe their presentations and recognize weak points. We developed a mechanism for recording and reproducing activities in virtual space in detail and a mechanism for applying machine learning to activity records. With these mechanisms, a system for recording, reproducing, and automatically evaluating presentations was developed.

Reading Students’ Multiple Mental States in Conversation from Facial and Heart Rate Cues International conference

Shimeng Peng, Shigeki Ohira, Katashi Nagao

12th International Conference on Computer Supported Education (CSEDU 2020) 2020.5.2

Event date： 2020.5

Language：English Presentation type：Oral presentation (general)

Students’ mental states have been widely acknowledged as crucial components for inferring their learning processes and are closely linked with learning outcomes. Understanding students’ complex mental states including concentration, confusion, frustration, and boredom in teacher-student conversation could benefit a human teacher’s perceptual and real-time decision-making capability in providing personalized and adaptive support in coaching activities. Many lines of research have explored the automatic measurement of students’ mental states in pre-designed human-computer tasks. It still remains a challenge to detect the complex mental states of students in real teacher-student conversation. In this study, we made such an attempt by describing a system for predicting the complex mental states of students from multiple perspectives: facial and physiological (heart rate) cues in real student-teacher conversation scenarios. We developed an advanced multi-sensor-based system and applied it in small-scale meetings to collect students’ multimodal conversation data. We demonstrate a multimodal analysis framework. Machine learning models were built by using extracted interpretable proxy features at a fine-grained level to validate their predictive ability regarding students’ multiple mental states. Our results provide evidence of the potential value of fusing multimodal data to understand students’ multiple mental states in real-world student-teacher conversation.

VR2ML: A Universal Recording and Machine Learning System for Improving Virtual Reality Experiences International conference

Yuto Yokoyama, Katashi Nagao

27th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2020)

Event date： 2020.3

Language：English Presentation type：Oral presentation (general)

Venue：Atlanta Country：United States

We developed software for recording and reusing user actions and associated effects in various VR applications. In particular, we implemented two plugin systems that allow 3D motion data recorded in VR to be transferred to a machine learning module without programming. One is a system that runs on Unity and records actions and events in VR, and it is called VRec. The other is a system for using data recorded with VRec for machine learning, called VR2ML.
Currently, recording all of the movements of people and objects in VR is not possible. Since the events that occur in VR include object movements and the generation of sounds and visual effects, recording only avatar movements is not enough. The archive function provided by VR communication services is a comprehensive recording mechanism that records live performances and the like that have been done in the past in VR and allows the users to view them later. This satisfies the necessary elements for this study but is limited to recording and browsing within the same service, and the recorded data cannot be analyzed or evaluated. Therefore, a unified format is required to reuse behavioral data after VR experiences.

PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color International conference

Xu Cao, Weimin Wang, Katashi Nagao

2020 Winter Conference on Applications of Computer Vision (WACV '20)

Event date： 2020.3

Language：English Presentation type：Oral presentation (general)

Venue：Colorado Country：United States

We propose a neural style transfer method for colored point clouds which allows stylizing the geometry and/or color property of a point cloud from another. The stylization
is achieved by manipulating the content representations and Gram-based style representations extracted from a pretrained PointNet-based classification network for colored point clouds. As Gram-based style representation is invariant to the number or the order of points, the style can also be an image in the case of stylizing the color property of a
point cloud by merely treating the image as a set of pixels.
Experimental results and analysis demonstrate the capability of the proposed method for stylizing a point cloud either from another point cloud or an image.

AI-Powered Education: Smart Learning Environment with Large Interactive Displays Invited International conference

Katashi Nagao

International Display Workshops 2019

Event date： 2019.11

Language：English Presentation type：Oral presentation (general)

Country：Japan

Our university is currently developing an advanced physical-digital learning environment that can train students to enhance their presentation and discussion skills. The environment guarantees an efficient presentation and discussion among users with state-of-the-art technologies such as touch panel digital poster panels. It includes an automatic evaluation system that efficiently records, analyses, and evaluates the presenter's presentation and discussion skills. We also have developed a digital poster authoring tool, a novel tool for creating interactive digital posters displayed on the digital poster panels. The environment also allows the students for effective self-training of presentation by authoring digital posters and getting feedbacks of automatic evaluation of presentation. We call such education promoted by the AI technologies AI-Powered Education.

Discussion-skill Analytics with Acoustic, Linguistic and Psychophysiological Data International conference

Katashi Nagao, Kosuke Okamoto, Shimeng Peng, Shigeki Ohira

11th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2019)

Event date： 2019.9

Language：English Presentation type：Oral presentation (general)

Venue：Vienna Country：Austria

In this paper, we propose a system for improving the discussion skills of participants in a meeting by automatically evaluating statements in the meeting and effectively feeding back the results of the evaluation to them. To evaluate the skills automatically, the system uses both acoustic features and linguistic features of statements. It evaluates the way a person speaks, such as their voice size, on the basis of the acoustic features, and it also evaluates the contents of a statement, such as the consistency of context, on the basis of linguistic features. These features can be obtained from meeting minutes. Since it is difficult to evaluate the semantic contents of statements such as the consistency of context, we build a machine learning model that uses the features of minutes such as speaker attributes and the relationship of statements. In addition, we argue that participants' heart rate (HR) data can be used to effectively evaluate their cognitive performance, specifically the performance in a discussion that consists of several Q&A segments (question-and-answer pairs). We collect HR data during a discussion in real time and generate machine-learning models for evaluation. We confirmed that the proposed method is effective for evaluating the discussion skills of meeting participants.

Building-Scale Virtual Reality: Another Way to Extend Real World International conference

Katashi Nagao, Menglong Yang, Xu Cao, Yusuke Miyakawa

IEEE 2nd International Conference on Multimedia Information Processing and Retrieval

Event date： 2019.3

Language：English Presentation type：Oral presentation (general)

Venue：San Jose, CA, USA Country：United States

We propose building-scale virtual reality (VR), a real-world extension method different from augmented reality (AR), that uses automatically generated indoor 3D point cloud maps. To make the entire indoor area a pose tracking area, we attach an RGB-D camera to a VR headset, collect data with it, and use deep learning to build a model learned from the data. This method is more accurate than the conventional RGB-D SLAM method. Furthermore, to modify the VR space according to the purpose, segmentation and replacement of the 3D point cloud are performed. This is hard to do in AR, but it is essential technology for VR to be used in actual real-world work. We describe a disaster simulation including virtual evacuation drills and virtual work environments as application examples.

Point Cloud Colorization Based on Densely Annotated 3D Shape Dataset International conference

Xu Cao, Katashi Nagao

25th International Conference on MultiMedia Modeling (MMM2019)

Event date： 2019.1

Language：English Presentation type：Oral presentation (general)

Venue：Thessaloniki, Greece Country：Greece

This paper introduces DensePoint, a densely sampled and annotated point cloud dataset containing over 10,000 single objects across 16 categories, by merging different kind of information from two existing datasets. Each point cloud in DensePoint contains 40,000 points, and each point is associated with two sorts of information: RGB value and part annotation. In addition, we propose a method for point cloud colorization by utilizing Generative Adversarial Networks (GANs). The network makes it possible to generate colours for point clouds of single objects by only giving the point cloud itself. Experiments on DensePoint show that there exist clear boundaries in point clouds between different parts of an object, suggesting that the proposed network is able to generate reasonably good colours. Our dataset is publicly available on the project page.

Automatic Evaluation of Presenters' Discussion Performance Based on their Heart Rate International conference

Shimeng Peng, Katashi Nagao

The 10th International Conference on Computer Supported Education (CSEDU 2018)

Event date： 2018.3

Language：English Presentation type：Oral presentation (general)

Venue：Portugal Country：Portugal

Heart rate variability (HRV) has recently seen a surge in interest regarding the evaluation of cognitive performance as it always be used to measure the autonomic nervous system function. In this study, we argue that a presenters' HRV data can be used to effectively evaluate their cognitive performance, specifically presenters' performance of discussion which consists of several Q&A segments (question and answer pairs) compared with using traditional natural language processing (NLP) such as semantic analysis. To confirm this, we used a non-invasive device, i.e., Apple Watch, to collect real-time updated HR data of presenters during discussions in our lab-seminar environment, their HRV data were analyzed based on Q&A segments, and three machine-learning models were generated for evaluation: logistic regression, support vector machine, and random forest. We also discuss the meaningful HRV features (metrics). Comparative experiments were conducted involving semantic data of Q&A statements alone and a combination of HRV and semantic data. The HRV data of presenters resulted in effective evaluation of discussion performance compared with using only semantic data. The combination of these two types of data could improve the discussion performance evaluation ability to some extent.

Meeting Analytics: Creative Activity Support Based on Knowledge Discovery from Discussions International conference

Katashi Nagao

51st Hawaii International Conference on System Sciences

Event date： 2018.1

Language：English Presentation type：Oral presentation (general)

Venue：Hawaii, USA Country：United States

In this paper, we present high-probability statements mentioning future tasks during meetings that should lead to innovations and facilitate creative discussions. We also propose a creative activity support system that should help users to discover and execute essential tasks.

Building Scale VR: Automatically Creating Indoor 3D Maps and its Application to Simulation of Disaster Situations International conference

Katashi Nagao, Yusuke Miyakawa

Future Technologies Conference (FTC) 2017

Event date： 2017.11

Language：English Presentation type：Oral presentation (general)

Venue：Vancouver, Canada Country：Canada

In this paper, we explain how to implement Building-Scale VR and its applications to disaster simulations. It is useful to express disaster situations by reconstructing actual buildings into virtual space and enable users in the building to experience such situations beforehand to learn how to properly act during a disaster.

Smart Learning Environment for Discussion and Presentation Skills Training Invited International conference

Katashi Nagao

2016 International Conference for Top and Emerging Computer Scientists (IC-TECS 2016)

Event date： 2016.12

Language：English Presentation type：Oral presentation (keynote)

Venue：Taipei, Taiwan Country：Taiwan, Province of China

Our university is currently developing an advanced physical-digital learning environment that can train students to enhance their discussion and presentation skills. The environment guarantees an efficient discussion among users with state-of-the-art technologies such as touch panel discussion tables, digital posters, and an interactive wall-sized whiteboard. It includes a data mining system that efficiently records, summarizes, and annotates discussions held in our facility. We also have developed a digital poster authoring tool, a novel tool for creating interactive digital posters displayed using our digital poster presentation system. Evaluation results show the efficiency of using our facilities: the data mining system and the digital poster authoring tool. In addition, our physical-digital learning environment will be further enhanced with some automated recognition systems that can detect interactions with the digital poster presentation system and the different discussion tools enabling a more automated skill evaluation and knowledge discovery from discussion and presentation records.

A Smart Education System for Discussion and Presentation Skills Training Invited International conference

Katashi Nagao

BIT's 5th Annual World Congress of Emerging InfoTech 2016

Event date： 2016.11

Language：English Presentation type：Oral presentation (invited, special)

Venue：Qingdao, China Country：China

Our university is currently developing an advanced physical-digital learning environment that can train students to enhance their discussion and presentation skills. The environment guarantees an efficient discussion among users with state-of-the-art technologies such as touch panel discussion tables, digital posters, and an interactive wall-sized whiteboard. It includes a data mining system that efficiently records, summarizes, and annotates discussions held inside our facility. We also developed a digital poster authoring tool, a novel tool for creating interactive digital posters displayed using our digital poster presentation system. Evaluation results show the efficiency of using our facilities: the data mining system and the digital poster authoring tool. In addition, our physical-digital learning environment will be further enhanced with some automated recognition systems that can detect interactions with the digital poster presentation system and the different discussion tools enabling a more automated skill evaluation and knowledge discovery from discussion and presentation records.

Automatic Extraction of Task Statements from Structured Meeting Content International conference

Katashi Nagao, Kei Inoue, Naoya Morita and Shigeki Matsubara

7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Event date： 2015.11

Language：English Presentation type：Oral presentation (general)

Country：Portugal

We previously developed a discussion mining system that records face-to-face meetings in detail, analyzes their content, and conducts knowledge discovery. Looking back on past discussion content by browsing documents, such as minutes, is an effective means for conducting future activities. In meetings at which some research topics are regularly discussed, such as seminars in laboratories, the presenters are required to discuss future issues by checking urgent matters from the discussion records. We call statements including advice or requests proposed at previous meetings "task statements" and propose a method for automatically extracting them. With this method, based on certain semantic attributes and linguistic characteristics of statements, a probabilistic model is created using the maximum entropy method. A statement is judged whether it is a task statement according to its probability. A seminar-based experiment validated the effectiveness of the proposed extraction method.

Tool and Evaluation Method for Idea Creation Support International conference

Ryo Takeshima, Katashi Nagao

7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Event date： 2015.11

Language：English Presentation type：Oral presentation (general)

Country：Portugal

We have developed a new idea creation support tool in which (1) each idea is represented by a tree structure, (2) the idea is automatically evaluated on the basis of the tree structure so that the relative advantages among several alternative ideas is found, (3) the ideas are presented in a poster format, and (4) the ideas are shared by multiple users so that the ideas can be quoted and expanded upon by individual users. In this work, we explain the mechanisms of this tool, including the evaluation and poster conversion of ideas and collaborative idea creation, and briefly discuss our plan for the future.

A New Physical-Digital Environment for Discussion and Presentation Skills Training International conference

Katashi Nagao, Mehrdad Tehrani, Jovilyn B. Fajardo

The International Conference on Smart Learning Environments (ICSLE 2014)

Event date： 2014.7

Language：English Presentation type：Oral presentation (general)

Country：China

Our university is currently developing an advanced physical-digital learning environment that can train the students with better discussion and presentation skills. The environment guarantees an efficient discussion among users with state-of-the-art technologies such as touch panel discussion tables and posters. It includes a data mining system that efficiently records, summarizes, and annotates the discussion. It will be further enhanced by using a vision system to facilitate the interactions enabling a more automated discussion mining.

複数コンテンツの部分関連付けに基づく論文作成支援

棚瀬達央, 大平茂輝, 長尾確

第12回情報科学技術フォーラム

内容の印象度に基づくインタラクティブな要約を用いたスライド推敲支援システム

竹島亮, 大平茂輝, 長尾確

第12回情報科学技術フォーラム

デジタルコンテンツの部分参照・引用に基づく論文作成支援

棚瀬達央, 大平茂輝, 長尾確

情報処理学会第75回全国大会

指さし対象認識による個人用知的移動体の直感的な操作

矢田幸大, 渡辺賢, 長尾確

情報処理学会第75回全国大会

学術論文からの研究資源情報の自動抽出

井上慧, 松原茂樹, 長尾確

情報処理学会第75回全国大会

タブレットデバイスによるゼミ中のスライドへの指摘とその記録・検索手法

小林尚弥, 川西康介, 大平茂輝, 長尾確

情報処理学会第75回全国大会

複数移動体の安全走行のための移動体間の連携・協調

久保田芙衣, 尾崎宏樹, 渡辺賢, 長尾確

情報処理学会第75回全国大会

屋内3次元地図の自動生成とWebサービス化による実世界情報の高度利用

尾崎宏樹, 渡辺賢, 長尾確

情報処理学会第75回全国大会

ビデオスクラップブックによる映像シーンの作成・管理と論文執筆支援への応用

西脇雅幸, 棚瀬達央, 大平茂輝, 長尾確

情報処理学会第75回全国大会

議論スキル向上のためのゲーミフィケーション・フレームワーク

川西康介, 大平茂輝, 長尾確

情報処理学会第75回全国大会

インタラクティブな要約と内部構造の可視化によるスライド推敲支援システム

竹島亮, 大平茂輝, 長尾確

情報処理学会第75回全国大会

小型無人移動体との連携による個人用知的移動体の安全自動走行とその評価

渡辺賢, 尾崎宏樹, 矢田幸大, 長尾確

情報処理学会第75回全国大会

ディスカッションマイニングへのゲーミフィケーションの導入

川西康介, 小林尚弥, 大平茂輝, 長尾確

第3回デジタルコンテンツクリエーション研究発表会

Social Annotation to Indoor 3D Maps Generated Automatically

Katashi Nagao, Hiroki Osaki, Ken Watanabe, Daisuke Yamamoto

Special Interest Group on Digital Content Creation of the Information Processing Society of Japan

Event date： 2012.5

Language：Japanese Presentation type：Oral presentation (general)

Country：Japan

While 3D maps are useful to visualize complicated shapes of objects inside buildings, it is very costly to create and maintain them.
We developed a mechanism to automatically generate indoor 3D maps by using a Small Unmanned Vehicle (SUV, for short).
SUV is capable of autonomous run and collection of 3D data captured by an RGB-D (RGB and Depth) image sensor.
SUV also has a function of generation of a 2D environmental map for localization of current position.
Futhermore, we also developed a Web-based system for social annotation to automatically-generated indoor 3D maps.
Using annotated 3D maps and SUV, we can realize highly informative indoor navigations based on intuitive and interactive views and location-aware information.

Video Scene Retrieval Based on Quotations of Video Scenes and Technical Documents

Tatsuo Tanase, Keisuke Yamamoto, Shigeki Ohira, Katashi Nagao

IPSJ 73th Annual Convention

Acquisition of Context Information Among Meeting Contents andits Visualization for Meeting Reminding Support

Kentaro Ishitoya, Isao Takahashi, Shigeki Ohira, Katashi Nagao

IPSJ 73th Annual Convention

A Study on Structualization of Discussion based on Pointing Information and Its Applications in Meeting

Keisuke Kiuchi, Takahiro Tsuchida, Shigeki Ohira, Katashi Nagao

IPSJ 73th Annual Convention

Improving Efficiency of Automatic Transportation in Dynamic Environments of Personal Intelligent Vehicles

Taisuke Inoue, Ken Watanabe, Katashi Nagao

IPSJ 73th Annual Convention

Extension of Sensing Areas of Personal Intelligent Vehicles by Small Unmanned Vehicles

Ken Watanabe, Taisuke Inoue, Katashi Nagao

IPSJ 73th Annual Convention

A Support System for Understanding Technical Documents Based on Annotations of Video Scenes and Technical Documents

Keisuke Yamamoto, Tatsuo Tanase, Kentaro Ishitoya, Shigeki Ohira, Katashi Nagao

IPSJ 73th Annual Convention

Relational Search of Text Contents for Personal Knowledge Activity

Isao Takahashi, Kentaro Ishitoya, Shigeki Ohira, Katashi Nagao

IPSJ 73th Annual Convention

Future Prospects of Intelligent Computing Systems

Katashi Nagao

Special Interest Group on Intelligent Computing Systems of the Information Processing Society of Japan

Event date： 2010.11

Language：Japanese Presentation type：Oral presentation (general)

Country：Japan

While research results of artificial intelligence have been looked forward to be available, for example, in Web-based advanced information systems and intelligent robotics, previous AI researches have not sufficiently shown that how many principles of intelligence are already explained or are yet to be solved.
Therefore we should make sure that intelligent computing systems are means to verify hypotheses on principles of intelligence.
Being always aware of this point, we can acquire series of verified or being verified hypotheses.
Based on these hypotheses, we can explain design principles and appropriateness of our developed systems with some sort of intelligent mechanisms.
In this article, I describe three perspectives of guideline for developing and deploying intelligent computing systems; they are real, social, and material.

個人用知的移動体のための制御プラットフォームの開発

井上泰佑, 安田知加, 岸佳奈恵, 長尾確

情報処理学会第72回全国大会

カジュアルミーティングにおける議論の構造化とその応用

石戸谷顕太朗, 大平茂輝, 長尾確

第75回グループウェアとネットワークサービス研究会

知識活動支援システムによる会議コンテンツ間の関連性の獲得とその応用

第75回グループウェアとネットワークサービス研究会

知的移動体による美術館での鑑賞体験の個人化

第159回知能と複雑系研究会

カジュアルミーティングにおける議論コンテンツの構造化とその応用

石戸谷顕太朗, 小幡耕大, 大平茂輝, 長尾確

情報処理学会第72回全国大会

利用者間のコミュニケーション履歴を共有する協調学習型eラーニングシステム

山本圭介, 笠嶋公一朗, 大平茂輝, 長尾確

情報処理学会第72回全国大会

知識活動支援システムによる会議コンテンツ間の関連性の獲得とその応用

土田貴裕, 大平茂輝, 長尾確

情報処理学会第72回全国大会

ディスカッションマイニングにおける発言中の指示対象の取得とその応用

清水元規, 木内啓輔, 土田貴裕, 大平茂輝, 長尾確

情報処理学会第72回全国大会

自動走行可能な移動体によるミュージアムでの鑑賞体験の個人化

安田知加, 井上泰佑, 岸佳奈恵, 長尾確

情報処理学会第72回全国大会

個人用知的移動体による狭空間での安全走行支援

岸佳奈恵, 安田知加, 井上泰佑, 長尾確

情報処理学会第72回全国大会

Visualization of Discussions in Face-to-Face Meetings International conference

Fifth International Conference on Collaboration Technologies

TimeMachineBoard: A Casual Meeting System Capable of Reusing Previous Discussions International conference

Fifth International Conference on Collaboration Technologies

*Acquisition and Use of Real World Information for Personal Intelligent Vehicles

IPSJ 71th Annual Convention

*TimeMachineBoard: A Casual Meeting System Enables Quotation of Discussion Content

IPSJ 71th Annual Convention

Event date： 2009.3

Language：Japanese Presentation type：Oral presentation (general)

Country：Japan

Ordinary casual meetings held by small groups are one of the most important knowledge activities in an organization, and the organization's performance deeply depends on such meetings. There are many systems that help facilitate casual meetings, but there are no common way to assist in reusing content from previous meetings during a current meeting. We developed a new casual meeting system called the TimeMachineBoard that uses multiple displays to enable users to retrieve and quote discussions f

*Moving Obstacle Avoidance by Personal Intelligent Vehicles

IPSJ 71th Annual Convention

Event date： 2009.3

Language：Japanese Presentation type：Oral presentation (general)

Country：Japan

We have been developing an IT-powered electric personal vehicle called the AT. AT stands for Attentive Townvehicle, which is a human-centered and context-aware vehicle that makes people's urban lives more comfortable and enjoyable.
AT is capable of omnidirectional movement, obstacle and collision avoidance, and autonomous travel to user specified destinations in indoors.
In this paper, we present AT's fundamental mechanism and techniques for moving obstacle avoidance.

*Augmented Human: Extension of Human Body and Intelligence Based on Mountable Computing (Keynote Speech)

9th SICE System Integration Division Annual Conference

Event date： 2008.12

Language：Japanese Presentation type：Oral presentation (invited, special)

Country：Japan

A personal intelligent vehicle that is a main topic of this research project is an example product of a new research field called Mountable Computing, which supports not only anytime/anywhere computing functionalities but also computer-augmented physical movement and transportation activities. Mountable Computing contributes to augmentation of human body (physical movement abilities) and intelligence (sensing, remembering, and other cognitive abilities). We have been also studying physical and i

*Knowledge Activity Support System Based on Discussion Content International conference

The Fourth International Conference on Collaboration Technologies

Event date： 2008.8

Language：English Presentation type：Oral presentation (general)

We have developed a system to support knowledge activity. Knowledge activity isactivity in which people continuously create ideas about themes and developthem into knowledge. First, the system generates minutes (linked to video andaudio of discussions) and metadata (on significant discussions). Then, userstag the minutes in order to identify certain parts contemplate the discussioncontent and write notes derived from the minutes with the system for use asdiscussion content. The system converts i

divie: Tag-Based Video Scene Retrieval System

Personal Intelligent Vehicles Capable of Omni-Directional Movement and their Applications

Indoor Automatic Transportation by Personal Intelligent Vehicles

A Traffic Accident Prevention System Using Autonomous Driving Control at Intersection Areas

Semantic Integration of Multimedia Contents Based on Structured Quotation

Sharing and Reusing Robotic Behaviors for Robot-Assisted Therapy

Lecture Content Sharing System to Acquire and Manage Video Annotations

Video Scene Annotation Based on Social Bookmarking of Video Scenes

A Casual Meeting System Facilitating Reuse of Creative Discussions

Quotation of Web Documents Using Reading Annotation and its Applications

Discussion Mining: Knowledge Discovery from Face-to-Face Meetings,

A Research Activity Support System Based on Creation and Reuse of Technical Papers

Video Scene Retrieval Using Online Video Annotation

Discussion Media: Structuring and Browsing System for Discussion Contents

A Knowledge Activity Support System Based on Discussion Contents

Synvie: Applications Based on Annotation Acquired From Videoblog Community

Casual Meeting Support to Activate Creative Discussions

Creating and Sharing Robotic Behavior Contents for a Communication Robot

Music Player System Adapted to Walking/Jogging Rhythm

Advanced Use of Web Content: Annotation and Transcoding

IPSJ Tokai Section

Personal Intelligent Vehicles for Recording and Reuse of Experiences

Interaction 2007

Personal Intelligent Vehicles as New Experience Media

IPSJ2007

Automatic Information Compilation Based on Semantically Structured Quotations

JSAI2007

Wordlogue: Weblog Classification and Retrieval Using Data on Word Frequencies and Linguistic Annotations

IPSJ2006

Weblog-style Video Annotation and Syndication International conference

AXMEDIS 2005 Conference

SemCode2: Ontology-Based Annotation and Transcoding

IPSJ 67th Annual Convention

A Music Recommendation System Based on Annotations about Listeners' Preferences and Situations International conference

AXMEDIS 2005 Conference

iVAS: Web-based Video Annotation System and its Applications International conference

The 3rd International Semantic Web Conference

Discussion Mining: Annotation-Based Knowledge Discovery from Real World Activities International conference

The Fifth Pacific-Rim Conference on Multimedia (PCM 2004)

MiXA: A Musical Annotation System International conference

The 3rd International Semantic Web Conference

Semantic Transcoding: What we should do now for building the Semantic Web

IPSJ 65th Annual Convention

Situated Conversation with a Communicative Interface Robot International conference

JSAI

Annotaiton-Based Multimedia Summarization and Translation International conference

COLING-2002

Semantic Annotation and Transcoding: Making Text and Multimedia Contents More Usable on the Web International conference

International Workshop on Multimedia Annotation

Automatic Text Summarization Based on the Global Document Annotation International conference

COLING-98

Ubiquitous Talker: Spoken Language Interaction with Real World Objects International conference

The Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95)

A Preferential Constraint Satisfaction Technique for Natural Language Analysis International conference

The Tenth European Conference on Artificial Intelligence (ECAI-92)

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<NAGAO, Katashi>

Presentations -