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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-03
15:00
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Learning VQ-VAE for Image Dimensionality Reduction with Spatial Frequency Loss
Naoyuki Ichimura (AIST) PRMU2023-60
Vector Quantized-Variational AutoEncoders (VQ-VAEs) are a type of deep neural networks designed to learn an approximate ... [more] PRMU2023-60
pp.53-58
HIP 2023-12-22
09:15
Miyagi Research Institute of Electrical Communication Discussion on latent atypical development of both visual perception and its interaction with tactile perception in ubiquitous artificial visual environment -- Differences in fundamentals between three- and two- dimensional percepts --
Sakuichi Ohtsuka (ICT) HIP2023-87
In the 2000s (i.e., approx. last two decades), “portable personal media” had become great impact on human sensory recept... [more] HIP2023-87
pp.53-58
PRMU, IPSJ-CVIM 2021-03-04
10:30
Online Online Learning Convolutional Neural Networks with Spatial Frequency Loss
Naoyuki Ichimura (AIST) PRMU2020-73
The pixel-wise L2 and pixel-wise L1 losses have been commonly used to measure the consistency between images in learning... [more] PRMU2020-73
pp.25-30
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2019-11-15
15:05
Ehime Ehime Prefecture Gender Equality Center HDR Imaging with Considering Spatial Resolution Deterioration and Motion Blur using Multiple-Exposure-Time Image Sensor
Masahito Shimamoto, Yusuke Kameda, Takayuki Hamamoto (TUS) ICD2019-40 IE2019-46
In this paper, we proposed a novel method to achieve a high dynamic range (HDR) image with suppressing deterioration in ... [more] ICD2019-40 IE2019-46
pp.55-58
PRMU, BioX 2018-03-18
11:10
Tokyo   Learning Convolutional Autoencoders Using a Loss Function Based on Spatial Frequencies and Colors
Naoyuki Ichimura (AIST) BioX2017-36 PRMU2017-172
This paper presents a learning method for convolutional autoencoders (CAEs) for extracting features from images. CAEs ca... [more] BioX2017-36 PRMU2017-172
pp.1-6
IMQ 2015-11-27
14:15
Kyoto   Synthesis of high spatial resolution images by integration of high frame-rate images based on high precision motion estimation
Tetsu Matsuzaki, Danya Sugai, Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2015-20
Recently, the pixel pitch of image sensor is approaching diffraction limit of lens, and it is impossible to improve spat... [more] IMQ2015-20
pp.1-4
PRMU, MI, IE, SIP 2015-05-15
10:00
Mie   Kernel Estimation using Normalized Sparsity Measure and its Application to Video Restoration
Yusuke Nojima, Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.) SIP2015-15 IE2015-15 PRMU2015-15 MI2015-15
Image and video restoration is to recover the high-quality (HQ) image/video from low-quality (LQ) one due to the possibl... [more] SIP2015-15 IE2015-15 PRMU2015-15 MI2015-15
pp.77-82
IMQ 2014-10-24
14:50
Kyoto Matsugasaki Campus, Kyoto Institute of Technology Improvement of spatial resolution by integration of high frame rate images based on high-precision motion estimation
Tetsu Matsuzaki, Shota Fujii, Danya Sugai, Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2014-14
Recently, the study of improvement of spatial resolution is one of major themes. Above all, we have been investigating t... [more] IMQ2014-14
pp.13-17
SIS 2013-03-07
16:40
Shizuoka Create Hamamatsu Generating a lambda map in spacial adaptive TV filter
Masaru Tanaka, Sho Miura, Hiroyuki Tsuji, Tomoaki Kimura (Kanagawa Inst. of Tech.) SIS2012-60
TV filter is a non-linear filter that can remove Gaussian noise effectively. However, it has a drawback that the detaile... [more] SIS2012-60
pp.79-84
IMQ 2013-01-25
15:50
Hyogo Kobe University Improvement of Edge Detection Method for the Non-Reference Estimation Method of Coring Degradation
Tomohiro Miyake, Naoya Sagara, Kenji Sugiyama (Seikei Grad) IMQ2012-33
In the many kinds of video system, an objective picture quality estimation method without the reference picture is requi... [more] IMQ2012-33
pp.25-28
IMQ 2011-09-02
15:25
Shizuoka Shizuoka University (Hamamatsu) Non-reference estimation method of image quality summarizing four kinds of detection for the coded degradation
Takayuki Suzuki, Naoya Sagara, Kenji Sugiyama (Seikei Univ.) IMQ2011-12
In the many kinds of video system, it is desired that the picture quality is controlled to provide the better picture. F... [more] IMQ2011-12
pp.23-26
IMQ
(2nd)
2011-03-18
16:15
Shizuoka   A Discussion of Non-Reference General Metric for the Degraded Picture by Coding
Takayuki Suzuki, Naoya Sagara, Kenji Sugiyama (Seikei Univ.)
In the many kinds of video system, it is desired that the picture quality is controlled to provide the better picture. F... [more]
PRMU, IE, MI 2009-05-28
10:30
Gifu Gifu Univ. Detection and Removal of Line Scratches Using Residual Information of Film Sequences with Spatial Filtering
Yasuhiro Kazama, Masahide Abe, Masayuki Kawamata (Tohoku Univ.) IE2009-11 PRMU2009-2 MI2009-2
This paper proposes a method which detects and removes line scratches included in film sequences. First, we detect the s... [more] IE2009-11 PRMU2009-2 MI2009-2
pp.5-10
HIP 2008-12-18
- 2008-12-19
Miyagi RIEC Does the impression of speed from static images change time perception?
Kentaro Yamamoto, Yuko Kodama, Madoka Higashi, Yudai Kiyohisa, Kayo Miura (Kyushu Univ.) HIP2008-134
We examined whether the impression of speed from static images influences time perception. In Experiment 1, we used thre... [more] HIP2008-134
pp.65-70
HIP 2007-06-28
- 2007-06-29
Hokkaido   The roles of diagnostic colors to natural scene recognition.
Tetsunoshin Fujii, Yasuhiro Kawabata (Hokkaido Univ.)
We examine how colors contribute to scene recognition in terms of semantic factors. Whether color cues are effective for... [more]
 Results 1 - 15 of 15  /   
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