Faculty Profiles - Deguchi Daisuke

Presentations -

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Estimation of the Representative Story Transition in a Chronological Semantic Structure of News Topics International conference

Kosuke Kato, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

4th International Conference on Multimedia Retrieval (ICMR2014) 2014.4.4

Event date： 2014

Language：English Presentation type：Poster presentation

Venue：Glasgow University

It is important to track the flow of topics to thoroughly understand the contents. Accordingly, a method that structures the chronological semantic relations between news stories, namely a 'topic thread structure' has been proposed.It allows the comprehensive understanding of a topic by chronologically tracking stories one by one from the initial story. However, this task imposes a user to watch many stories when it contains various sub-topics. Thus, we propose method that estimates the representative story transition in a topic thread structure. In the proposed method, features obtained from a story and those from the topic thread structure are used for the estimation. We confirmed the effectiveness of the proposed method by comparing the results obtained from the proposed method to the ground truth obtained from votes in a subjective experiment. However, this task imposes a user to watch many stories when it contains various sub-topics. Thus, we propose method that estimates the representative story transition in a topic thread structure. In the proposed method, features obtained from a story and those from the topic thread structure are used for the estimation. We confirmed the effectiveness of the proposed method by comparing the results obtained from the proposed method to the ground truth obtained from votes in a subjective experiment

A Preliminary Study on the Removal of Moving Objects in a Frontal In-vehicle Camera Image Sequence

Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2014 IEICE General Conference 2014.3.20

A preliminary study on eye images synthesis for eye gaze correction for teleconferencing

Takuya Inoue, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2014 IEICE General Conference 2014.3.20

A preliminary study on pedestrian detection using a low resolution LIDAR

Yoshinori Ichikawa, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Utsushi Sakai, Hideaki Misawa

2014 IEICE General Conference 2014.3.20

A study on gesture detection by an infrared sensor array considering active areas

Chisato Toriyama, Takashi Hosono, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2014 IEICE General Conference 2014.3.20

Investigation on the Estimation of the Number of Vehicles in an In-Vehicle Camera Image based on Car Parts Detection

Fumito Shinmura, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2014 IEICE General Conference 2014.3.20

A Feasibility Study of Human Cloud Sensing

Atsushi Shimada, Daisuke Deguchi, Kazuaki Kondo, Takuya Funatomi

2014 IEICE General Conference 2014.3.18

Accuracy improvement of pedestrian detection from in-vehicle camera images based on environment adaptation using location information

Daichi Suzuo, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hiroyuki Ishida, Yoshiko Kojima

IEICE Technical Report (PRMU) 2014.3.13

Proposal of the weighted voting type co-training method for the construction of an accurate traffic sign detector

Yuji Kojima, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2014.3.13

名古屋大学におけるSakaiの利用状況およびリーディング大学院の活用事例の紹介

中務孝広, 太田芳博, 田上奈緒, 大平茂輝, 後藤明史, 出口大輔, 森健策

Ja Sakai カンファレンス 2014.3.10

Event date： 2014

Language：Japanese Presentation type：Oral presentation (general)

Venue：名古屋大学

名古屋大学では，2010年度からSakaiによるNUCT（Nagoya University Collaboration and course Tools）を，講義における利用を主たる目的として全学向けに運用してきた．本稿では，Sakaiにおける利用状況等について報告するとともに，博士課程教育リーディングプログラムにおける教育学習支援システムとして，Sakaiを利活用した事例について紹介する．

A method to relate news stories to Web news articles for video structuring using SNS

Kosuke Kato, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2014.3.7

Scene Duplicate Detection from News Videos by Sub-Region-based Motion Matching of a Face

Haruka Kumagai, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2014.3.7

A Study on the Estimation of Tastes of Cooking Recipes Based on Training Using Comments on Cooking Recipes as Supervisory Signals

Hiroki Matsunaga, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2014.3.6

A study on memory-based regression for spatial people density estimation

Yoshimune Tabuchi, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Takayuki Kurozumi, Kunio Kashino

IEICE Technical Report (PRMU) 2014.2.13

Proposal of Human Cloud Sensing

Atsushi Shimada, Daisuke Deguchi, Kazuaki Kondo, Takuya Funatomi

IEICE Technical Report (PRMU) 2014.2.13

The 1st Feasibility Study toward Human Cloud Sensing

Daisuke Deguchi, Kazuaki Kondo, Takuya Funatomi, Atsushi Shimada

IEICE Technical Report (PRMU) 2014.2.13

The 2nd Feasibility Study toward Human Cloud Sensing

Kazuaki Kondo, Takuya Funatomi, Atsushi Shimada, Daisuke Deguchi

IEICE Technical Report (PRMU) 2014.2.13

Can a Human be a Sensor? International conference

Atsushi Shimada, Daisuke Deguchi, Kazuaki Kondo, Takuya Funatomi

20th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2014) 2014.2.5

Event date： 2014

Language：English Presentation type：Poster presentation

Venue：Okinawa National College of Technology

This paper discusses a novel sensing strategy to retrieve real-world information. Instead of using sensor devices such as cameras, microphones and so on, the proposed approach involves people in real-world sensing to acquire requested information as accurately and quickly as possible. We call the proposed sensing strategy as Human Cloud Sensing (HCS)". In this paper, we introduce the concept of HCS and report some experimental results which were conducted to investigate the feasibility of "Can a human be a sensor?"."

Environment adaptive pedestrian detection using in-vehicle camera and GPS International conference

Daichi Suzuo, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hiroyuki Ishida, Yoshiko Kojima

International Conference on Computer Vision Theory and Applications (VISAPP) 2014 2014.1.7

Event date： 2014

Language：English Presentation type：Oral presentation (general)

Venue：Lisbon

In recent years, accurate pedestrian detection from in-vehicle camera images is focused to develop a safety driving assistance system. Currently, successful methods are based on statistical learning. However, in such methods, it is necessary to prepare a large amount of training images. Thus, the decrease in the number of training images degrades the detection accuracy. That is, in driving environments with few or no training images, it is difficult to detect pedestrians accurately. Therefore, we propose an approach that collects training images automatically to build classifiers for various driving environments. This is expected to realize highly accurate pedestrian detection by using an appropriate classifier corresponding to the current location. The proposed method consists of three steps; Classification of driving scenes, collection of non-pedestrian images and training of classifiers for each scene class, and associating a scene-class-specific classifier with GPS location information. Through experiments, we confirmed the effectiveness of the method compared to baseline methods.

DOI： 10.5220/0004677003540361

Exemplar-Based Human Body Super-Resolution for Surveillance Camera Systems International conference

Kento Nishibori, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

International Conference on Computer Vision Theory and Applications (VISAPP) 2014 2014.1.6

Event date： 2014

Language：English Presentation type：Poster presentation

Venue：Lisbon

In this paper, we propose an exemplar-based super-resolution method applied to a human body in a surveillance video. Since persons are usually captured as low-resolution images by a video surveillance system, it is sometimes necessary to perform detection and identification of persons from not only a human face but also from the human body appearance. The super-resolution for a human body image is difficult because the appearances of person images vary according to the color of clothing and the posture of persons. Thus, we focus on the high-frequency components that could restore the lost high-frequency components of the low-resolution image regardless to the variation of the clothing. Therefore, the purpose of the work presented in this paper is to apply the exemplar-based super-resolution using high-frequency components for a low-resolution human body image to generate a high-resolution human body image so that both computer systems and humans can identify persons more accurately. As a result of experiments, we confirmed the effectiveness of the proposed super-resolution method.

DOI： 10.5220/0004686101150121

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