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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IMQ, HIP | 2018-07-20 13:30 |
Hokkaido | Sapporo City University, Satellite Campus | [Invited Lecture]
Inpainting based on low-dimensional image approximation and its applications Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)  IMQ2018-5 HIP2018-32 |
This paper introduces inpainting based on low-dimensional image approximation and its applications. Specifically, low-di... [more] | IMQ2018-5 HIP2018-32 pp.1-4 |
| NLP | 2017-07-13 15:45 |
Okinawa | Miyako Island Marine Terminal | A Study of Image Inpainting Methods by using SD-CNN Ryohei Mizutani, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Sathit Prasomphan (King Mongkut Univ. of Tech. North Bangkok), Mamoru Tanaka (Sophia Univ.) NLP2017-37 |
In recent years, the practical use of digital images have been progressed because of the popularization and advance of i... [more] | NLP2017-37 pp.53-57 |
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-07 10:35 |
Fukuoka | Kyusyu Univ. Ohashi Campus | Feature region detection using image quality assessment and exemplar-based image inpainting. Tomohiro Suzuki, Keiji Shibata, Yasuhiro Inazumi, Yuukou Horita (Univ. of Toyama) IMQ2016-46 IE2016-161 MVE2016-69 |
Image inpainting is one of the useful method for restoring the original image from a missing image. The exemplar-based i... [more] | IMQ2016-46 IE2016-161 MVE2016-69 pp.159-162 |
| PRMU, CNR | 2016-02-22 15:00 |
Fukuoka | Iteratively applying image inpainting with automatic detection of failure regions using a convolutional neural network Takahiro Tanaka, Norihiko Kawai, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya (NAIST) PRMU2015-160 CNR2015-61 |
Image inpainting is a method that fills in missing regions with plausible textures in an image to remove undesired objec... [more] | PRMU2015-160 CNR2015-61 pp.133-138 |
|
| MBE, NC (Joint) |
2015-12-19 13:50 |
Aichi | Nagoya Institute of Technology | The reconstruction of the missing pixels in the digital image using unmissing pixels and belief propagation Ryuichi Mashiba, Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ.) NC2015-48 |
A digital image inpainting is an image processing method that reconstructs missing or degraded pixels in the image by us... [more] | NC2015-48 pp.13-18 |
| IMQ | 2015-11-27 14:40 |
Kyoto | An image coding method based on a foreground and a background Yuta Miyayama, Yasuhiro Inazumi, Keiji Shibata, Yuukou Horita (Univ. Toyama) IMQ2015-21 |
Digital images are continuosly requiring increased storage space due to increased resolution in the recent years. Becaus... [more] | IMQ2015-21 pp.5-8 |
|
| MVE, HI-SIG-VR | 2015-10-08 14:15 |
Hokkaido | Ranking model for image inpainting Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Akira Kojima (NTT) MVE2015-29 |
A method for blindly predicting inpainted image quality is proposed in this paper. Many existing image inpainting method... [more] | MVE2015-29 pp.49-54 |
|
| MVE | 2015-06-08 16:25 |
Shimane | Content completion by restoring in narrow feature space and compensating lost features Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Akira Kojima (NTT) MVE2015-4 |
This paper proposes a novel framework for image/video completion. Photos and videos sometimes include unintended objects... [more] | MVE2015-4 pp.37-42 |
|
| SIP, EA, SP | 2015-03-03 09:00 |
Okinawa | [Poster Presentation]
MSIST-based Image Restoration with Non-separable Oversampled Lapped Transforms Sho Wakasugi, Shogo Muramatsu (Niigata Univ) EA2014-90 SIP2014-131 SP2014-153 |
This work proposes, an image restoration technique with modified subbsnd-adaptive iterative shrinkage thresholding (MSIS... [more] | EA2014-90 SIP2014-131 SP2014-153 pp.91-96 |
|
| SIP, EA, SP | 2015-03-03 09:00 |
Okinawa | [Poster Presentation]
Fast image inpainting using Chebyshev polynomial approximation Masaki Onuki (TUAT), Shunsuke Ono (Tokyo Tech.), Keiichiro Shirai (Shinshu Univ.), Yuichi Tanaka (TUAT) EA2014-99 SIP2014-140 SP2014-162 |
In this report, we propose a method of singular value filtering using Chebyshev polynomial approximation.Recent image pr... [more] | EA2014-99 SIP2014-140 SP2014-162 pp.145-150 |
|
| MVE | 2014-10-09 13:30 |
Hokkaido | Reduction and Synthesis of Feature Values for High Quality of Experience Image Completion Mariko Isogawa, Dan Mikami, Akira Kojima (NTT) MVE2014-37 |
This paper proposes a new framework to repair damaged images and videos not in an original feature space but in a projec... [more] | MVE2014-37 pp.37-42 |
|
| PRMU, CNR | 2014-02-14 15:00 |
Fukuoka | Recovering Missing Shapes and Textures by Fitting Primitives to Point Cloud Satoshi Nakao, Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya (NAIST) PRMU2013-162 CNR2013-70 |
Recently, Augmented Reality (AR) or Virtual Reality (VR)-based applications that enable us to view virtualized real obje... [more] | PRMU2013-162 CNR2013-70 pp.165-170 |
|
| PRMU | 2013-03-14 10:45 |
Tokyo | Character Recognition Kohei Inai, Yaokai Feng, Seiichi Uchida (Kyushu Univ.) PRMU2012-186 |
(To be available after the conference date) [more] | PRMU2012-186 pp.37-42 |
|
| SIP, CAS, CS | 2013-03-14 13:25 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | Image Restoration with Directional Non-separable Oversampled Lapped Transform Natsuki Aizawa, Shogo Muramatsu (Niigata Univ.) CAS2012-103 SIP2012-134 CS2012-109 |
This report proposes an image restoration technique with directional non-separable oversampled lapped transform (NSOLT) ... [more] | CAS2012-103 SIP2012-134 CS2012-109 pp.39-44 |
| EA, EMM | 2012-11-17 11:45 |
Oita | OITA Univ. | Scene Character Processing Kohei Inai, Yaokai Feng, Seiichi Uchida (Kyushu Univ.) EA2012-102 EMM2012-84 |
(To be available after the conference date) [more] | EA2012-102 EMM2012-84 pp.123-128 |
| MBE, NC (Joint) |
2012-11-17 14:55 |
Miyagi | Tohoku University | Design of probabilistic image inpainting filters using Gaussian graphial models Tomotaka Kitagawa, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2012-71 |
A probabilistic image inpainting lter is an image processing lter that reconstructs lost or deteriorated pixels of ima... [more] | NC2012-71 pp.57-62 |
| MVE, ITE-HI, HI-SIG-VR | 2012-06-26 16:25 |
Tokyo | Sanjo Conference Hall | Fast Hash-Based Inpainting for Virtualized-Reality Indoor Modeling Kalaivani Thangamani, Tomoya Ishikawa, Koji Makita, Takeshi Kurata (AIST) MVE2012-18 |
This paper discusses the hash table usage for the Exemplar-Based inpainting method to speed up the inpainting process. T... [more] | MVE2012-18 pp.55-60 |
| EA, SP, SIP | 2012-05-24 10:45 |
Osaka | Osaka Univ. Nakanoshima Center | Exemplar-Based Image Inpainting with Outlier Rejection Hiroaki Misaki (Osaka Univ.), Makoto Nakashizuka (CIT), Youji Iiguni (Osaka Univ.) EA2012-4 SIP2012-4 SP2012-4 |
Image inpainting is a method for generating a background of an object which is removed from an image. In the exemplar-ba... [more] | EA2012-4 SIP2012-4 SP2012-4 pp.19-24 |
| IMQ | 2012-05-18 13:25 |
Tokyo | Tokai Univ. Takanawa Campus | Inpainting-based super-resolution algorithm considering edge strength Daichi Aoshima, Yasuhiro Inazumi, Yuukou Horita (Univ of Toyama) IMQ2012-2 |
In general，the increase in the number of pixels of a digital camera or a TV is being requested. There is a super-resolu... [more] |
IMQ2012-2 pp.5-8 |
| CAS, CS, SIP | 2012-03-08 13:20 |
Niigata | The University of Niigata | Image Restoration with Union of Multiple DirLOTs Natsuki Aizawa, Shogo Muramatsu (Niigata Univ.) CAS2011-113 SIP2011-133 CS2011-105 |
In this report, an image restoration method by using Directional Lapped Orthonormal Transform (DirLOT), which the author... [more] | CAS2011-113 SIP2011-133 CS2011-105 pp.37-42 |
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