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Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX, SIP, IE, ITE-IST, ITE-ME [detail] 2023-05-18
15:15
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
SIP2023-5 BioX2023-5 IE2023-5 Compressing video and images with lossy compression degrades input data.Therefore, image quality evaluation is necessary... [more] SIP2023-5 BioX2023-5 IE2023-5
pp.16-21
IE 2019-06-21
14:30
Okinawa   Image Quality Evaluation of 8K120Hz HEVC Encoder
Shinya Iwasaki (NHK), Xuying Lei (FJL), Kazuhiro Chida, Yasuko Sugito, Kazuhisa Iguchi, Kikufumi Kanda (NHK), Hidenobu Miyoshi, Yoshifumi Uehara (FJL) IE2019-20
We developed 8K 119.88-Hz (120-Hz) encoder to transmit videos with smoother motions. To evaluate the image quality impro... [more] IE2019-20
pp.19-24
CQ
(2nd)
2017-08-26
15:00
Saitama Nippon Institute of Technology [Poster Presentation] An objective image quality assessment based on contrast change
Naho Ito, Yasuhiro Inazumi, Yuukou Horita (Univ. of Toyama)
The CSIQ database is a database for image quality assessment (IQA). The database contains many test images obtained from... [more]
CQ 2017-07-28
15:00
Hyogo Kobe University Objective Image Quality Assessment Framework based on Noise Cluster Estimation
Naho Ito, Yasuhiro Inazumi, Yuukou Horita (Univ. of Toyama) CQ2017-46
In recent years, various objective image quality assessment (IQA) methods for evaluating image quality have been propose... [more] CQ2017-46
pp.95-98
IMQ, HIP 2016-07-29
15:45
Hokkaido Sapporp City Univ. A noise predictor based on image features for an IQA database
Yasuhiro Inazumi, Naho Ito, Yuukou Horita (Univ. of Toyama) IMQ2016-14 HIP2016-40
A set of images and mean opinion scores is needed to develop an objective image quality assessment (IQA). Recently, publ... [more] IMQ2016-14 HIP2016-40
pp.43-47
IMQ 2011-11-25
15:20
Toyama University of Toyama Verification of Effectiveness of Objective Assessment Scale for Visual "-likeness"
Kazuya Fukada, Yasuhiro Inazumi, Yuukou Horita (Univ. of Toyama) IMQ2011-18
Generally, an objective evaluation is designed to estimate subjective quality. In fact, many objective measurements may ... [more] IMQ2011-18
pp.15-20
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)
2010-05-13
11:05
Tokyo   Image quality assessment model using MPEG-7 descriptor
Masaharu Sato, Yuukou Horita (Univ. of Toyama)
In this paper we examine the Reduced-Reference image quality assessment model based on the MPEG-7 descriptor. the MPEG-7... [more]
CQ, NS, ICM
(Joint)
2006-11-17
15:10
Tottori Tottori Univ. of Environmental Studies Full reference image quality evaluation model considering the property of S-CIELAB color space
Hiroshi Matsumoto, Keiji Shibata, Yuukou Horita (Univ. of Toyama) CQ2006-77
Most of the proposed image quality evaluation models are generally based on only luminance information.
So, color infor... [more]
CQ2006-77
pp.101-106
CQ, NS, ICM
(Joint)
2006-11-17
15:30
Tottori Tottori Univ. of Environmental Studies NR image quality evaluation model based on frame quality on small-size coded video
Yoshikazu Kawayoke, Yuukou Horita (Univ. of Toyama) CQ2006-78
In recent years, by the quick development and acceleration of IP network environment,
it can be utilized the real vide... [more]
CQ2006-78
pp.107-112
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