Faculty Profiles - Deguchi Daisuke

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Study on super-resolution under facial pose variation for low-resolution face recognition

Tomonari Yoshida, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

2011 IEICE General Conference 2011.3

Summarizing sports video by on-the-spot comments on Twitter

Takashi Kobayashi, Masafumi Noda, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (MVE) 2011.3

Summarizing sports video by on-the-spot comments on Twitter

Takashi Kobayashi, Masafumi Noda, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

2011.3

Video-based Generic Object Recognition by Combining Motion Features and BoF

Shogo Nakamura, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2011.1.21

Quantification of the Visibility of Pedestrians Based on Integration of Local and Global Features

Masashi Wakayama, Keisuke Doman, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu

IEICE Technical Report (PRMU) 2011.1

A study on a method for stable pedestrian detection against pose changes with generative learning

Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Kunihiro Goto, Yoshikatsu Kimura, Takashi Naito

IEICE Technical Report (PRMU) 2011.5.20

Advertisements on Urban Structures by Augmented Reality

Hiroyuki Uchiyama, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Takahito Kawanishi, Kunio Kashino

Vision Engineering Workshop (ViEW) 2011 2011.12.9

Multi-frame super-resolution for low resolution QR-code recognition

Yuji Kato, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

Vision Engineering Workshop (ViEW) 2011 2011.12.9

Road-image Map Construction Using Low-resolution Aerial Image and In-vehicle Camera Images

Masafumi Noda, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Yoshiko Kojima, Takashi Naito

Vision Engineering Workshop (ViEW) 2011 2011.12.9

Detection of Inconsistency between Subject and Speaker based on the Co-occurrence of Lip Motion and Voice Towards Speech Scene Extraction from News Videos International conference

Shogo Kumagai, Keisuke Doman, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2011 IEEE International Symposium on Multimedia (ISM2011) 2011.12.6

Event date： 2011

Language：English Presentation type：Oral presentation (general)

Venue：Dana Point, California USA

We propose a method to detect the inconsistency between a subject and the speaker for extracting speech scenes from news videos.
Speech scenes in news videos contain a wealth of multimedia information, and are valuable as archived material.
In order to extract speech scenes from news videos, there is an approach that uses the position and size of a face region.
However, it is difficult to extract them with only such approach, since news videos contain non-speech scenes where the speaker is not the subject, such as narrated scenes.
To solve this problem, we propose a method to discriminate between speech scenes and narrated scenes based on the co-occurrence between a subject's lip motion and the speaker's voice.
The proposed method uses lip shape and degree of lip opening as visual features representing a subject's lip motion, and uses voice volume and phoneme as audio feature representing a speaker's voice.
Then, the proposed method discriminates between speech scenes and narrated scenes based on the correlations of these features.
We report the results of experiments on videos captured in a laboratory condition and also on actual broadcast news videos.
Their results showed the effectiveness of our method and the feasibility of our research goal.

Scene Segmentation of Wedding Party Videos by Scenario-based Matching with Example Videos International conference

Kazuki Sawai, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

19th ACM International Multimedia Conference (ACM-MM2011) 2011.12.1

A Study on Human Pose Estimation using Parametric Eigen-space Method

Nobuhiro Funatsu, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.27

A Preliminary Study on a Method for Displaying Images on Urban Structures by Augmented Reality

Hiroyuki Uchiyama, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.26

A preliminary study on the utilization of the driver's gaze information for robust segmentation of a road region

Ryuhei Sato, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.26

A study on frame localization of in-vehicle camera images using epipolar geometry

Haruya Kyutoku, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.26

An investigation of the relation between a driver's gaze and a saliency map in a driving context

Keisuke Doman, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.26

Low resolution QR-code recognition by applying super-resolution using the property of QR-codes International conference

Yuji Kato, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

11th International Conference on Document Analysis and Recognition (ICDAR2011) 2011.9.20

Event date： 2011

Language：English Presentation type：Oral presentation (general)

Venue：Beijing, China

This paper proposes a method for low resolution QR-code recognition. A QR-code is a two-dimensional binary symbol that can embed various information such as characters and numbers. To recognize a QR-code correctly and stably,the resolution of an input image should be high. In practice,however, recognition of a QR-code is usually difficult due to
low resolution when it is captured from a distance. In this paper, we propose a method to improve the performance of low resolution QR-code recognition by using the super-resolution technique that generates a high resolution image from multiple low-resolution images. Although a QR-code is a binary pattern, it is observed as a grayscale image due to the degradation through the capturing process. Especially the pixels around the borders between white and black regions become ambiguous. To overcome this problem, the proposed method introduces a binary pattern constraint to generate super-resolved images appropriate for recognition. Experimental results showed that a recognition rate of 98% an be achieved by the proposed method, which is a 15.7% improvement in comparison with a method using a conventional super-resolution method.

A Study of Robust Multi-Frame Super Resolution for Non-Rigid Deformation of Face

Tomonari Yoshida, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2011.9.6

大局的特徴として顕著性を利用した歩行者の視認性推定

若山雅史, 道満恵介, 出口大輔, 井手一郎, 村瀬洋, 玉津幸政

画像の認識・理解シンポジウム(MIRU) 2011.7.22

車載カメラ映像中の線分の3次元位置推定と走行可能領域検出への応用

内山寛之, 高橋友和, 出口大輔, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2011.7.22

Event date： 2011

Language：Japanese Presentation type：Poster presentation

Venue：石川県金沢市金沢市文化ホール

走行可能領域検出は車両のナビゲーションや安全運転支援において重要である．市街地の構造物の多くはポールや壁面といった線分で構成されている．そこで本論文では，走行可能領域検出を目的とし，単眼カメラを用い
て市街地の線分の3次元位置推定を行う手法を提案する．カメラの姿勢が既知の場合，線分の位置を推定するためには，画像間の線分の正確な対応付けが必要となる．そのため，少数の画像間で正しい線分の対応付けを行うために，多視点幾何拘束や市街地中の線分の特徴，車両の動きの事前知識を用いる．評価実験において，推定した線分の位置から走行可能領域の検出を行い，提案手法が走行可能領域検出に十分利用可能であることを確認した．

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