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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 186  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICM 2024-03-22
16:10
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
Quality Enhancement of WebRTC Real-Time Streaming Using Dynamic Control of Encoding Parameter for Scalable Video Coding
Naoki Eda, Satoshi Ohzahata, Ryo Yamamoto (UEC) ICM2023-64
This paper proposes the adaptive bitrate management method of the Web Real-Time Communication (WebRTC) broadcasting serv... [more] ICM2023-64
pp.101-106
NS 2023-10-06
14:15
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
A study on traffic reduction in crowd gaming using eye Information
Shintaro Okade (Osaka Univ.), Takumasa Ishioka (Osaka Univ./Kyoto Tachibana Univ.), Takuya Fujihashi, Shunsuke Saruwatari, Takashi Watanabe (Osaka Univ.) NS2023-102
In cloud gaming, a remote cloud server handles the various game processing and video generation tasks that have been per... [more] NS2023-102
pp.151-156
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
12:50
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Study on Offset Coding of Patch Data in Video-based Point Cloud Compression (V-PCC)
Emi Myoudou, Yoshitaka Kidani, Kei Kawamura (KDDI Research.) IMQ2022-78 IE2022-155 MVE2022-108
Video-Based Point Cloud Compression (V-PCC) was standardized by Moving Picture Experts Group (MPEG). In V-PCC, the 3D po... [more] IMQ2022-78 IE2022-155 MVE2022-108
pp.302-305
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
13:15
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A study of the encoding runtime reduction for CU partition with intra prediction information in VVC
Yuta Saito, Yoshitaka Kidani, Haruhisa Kato, Kei Kawamura (KDDI Research, Inc.) IMQ2022-79 IE2022-156 MVE2022-109
Versatile Video Coding (VVC) introduced quad tree with nested multi-type tree (QTMT).
The QTMT allows to divide coding ... [more]
IMQ2022-79 IE2022-156 MVE2022-109
pp.306-308
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
13:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Consideration on Improving Frame Prediction Accuracy Using GAN and PredNet
Naoko Imai, Shunichi Sekiguchi, Wataru Kameyama (Waseda Univ) IMQ2022-80 IE2022-157 MVE2022-110
We have been studying to apply PredNet, which is proposed to prove the predictive coding theory of human brain, to motio... [more] IMQ2022-80 IE2022-157 MVE2022-110
pp.309-314
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
14:05
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Consideration on Improving Prediction Accuracy of PredNet by Combining Features of Pseudo-future Frame.
Kanato Sakama, Shunichi Sekiguchi, Wataru Kameyama (Waseda Univ.) IMQ2022-81 IE2022-158 MVE2022-111
We have been studying the applicability of PredNet, one of the DNN-based video frame prediction methods proposed to prov... [more] IMQ2022-81 IE2022-158 MVE2022-111
pp.315-320
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:30
Hokkaido Hokkaido Univ. Image Division Based Interframe Prediction Method with Reduced Frame Memory for Ultra-Low-Latency Video-coding
Mai Yamaguchi, Matsumura Tetsuya (Nihon Univ.)
In this paper, we propose a new inter-frame prediction method for Ultra-Low-Latency Video-coding. The proposed method re... [more]
IE 2023-02-02
15:00
Tokyo NII
(Primary: On-site, Secondary: Online)
[Invited Talk] A Study on Background Filling for the Inter-patch Area of the Texture Image in V-PCC Encoder
Shohei Adachi (Waseda Univ.), Yoshitaka Kidani, Kei Kawamura (KDDI Research), Hiroshi Watanabe (Waseda Univ.) IE2022-54
Video-based point cloud compression (V-PCC) is standardized by MPEG in 2020 as a coding method for high-density 3D point... [more] IE2022-54
pp.17-18
RCS, NS
(Joint)
2022-12-15
10:35
Aichi Nagoya Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Transmission performance of 4K high-definition real-time video streaming signal using a Local 5G system
Takamasa Nishijima, Hiroki Urasawa, Ryota Bairaku, Hayato Soya, Kazuhiro Yamaguchi, Hideaki Matsue (SUS) RCS2022-187
For the local 5G uplink, we created an environment in which packet errors can be stably and deliberately controlled by a... [more] RCS2022-187
pp.13-18
IA 2022-10-14
15:55
Tokyo Koshiba Hall, The University of Tokyo
(Primary: On-site, Secondary: Online)
8K ultra-high-definition video transcoding function using edge computing
Yuma Ito (KAIT), Kouta Aoki (Miharu communications Inc.), Katsuhiro Sebayashi (KAIT), Hiroyuki Kimiyama (Daido University), Mitsuru Maruyama (KAIT) IA2022-35
The purpose of the research is to develop a practical technology for high-speed network computing including terminal, ed... [more] IA2022-35
pp.15-20
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-14
11:20
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
Evaluation of Object Detection AI in Pseudo-Analog Communications
Junichiro Yamada, Suto Katsuya (UEC) SR2022-28
Roadside video broadcasting is a key technology for cooperative automatic driving. The traditional broadcasting method t... [more] SR2022-28
pp.36-40
CQ, CS
(Joint)
2022-05-13
10:35
Fukui Fukui (Fuku Pref.)
(Primary: On-site, Secondary: Online)
Design and Implementation of Low-Latency Video Transmission for Racing Drones
Fumiaki Mizuno, Takeshi Matsuya, Nakamura Osamu (Keio Univ.) CQ2022-14
Analog video transmission with low latency has been the mainstream video transmission method for racing drones for a lon... [more] CQ2022-14
pp.74-79
PRMU 2021-10-09
10:45
Online Online Moving Scene Text Detection Using Synthetic Scene Text Video for Training
Zhiyuan Xie, Hideaki Goto, Takuo Suganuma (Tohoku Univ.) PRMU2021-21
In computer vision areas, scene text is valuable information for applications including scene understanding, autopilot, ... [more] PRMU2021-21
pp.28-33
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2021-08-25
13:25
Online Online Extraction of watermarks from video frames by using BSS
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) LOIS2021-17 IE2021-12 EMM2021-47
We propose a method for extracting watermarks additively
embedded in video frames by using blind source separation (BS... [more]
LOIS2021-17 IE2021-12 EMM2021-47
pp.7-12
CQ 2021-08-04
09:55
Online Online A Speculative Video Transmission Method for Low Latency of Cloud Gaming Systems
Takumasa Ishioka (Osaka Univ.), Ryota Shiina, Tatsuya Fukui, Hiroya Ono, Toshihisa Fujiwara, Tomohiro Taniguchi (NTT), Takuya Fujihashi, Shunsuke Saruwatari, Takashi Watanabe (Osaka Univ.) CQ2021-26
As networks become more sophisticated, there is growing interest in cloud gaming, a service that allows users to play ga... [more] CQ2021-26
pp.26-31
IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2021-06-03
16:30
Online Online A Study on Compression Artifacts Reduction by a Super-Resolution Network
Shion Komatsu, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2021-4 BioX2021-4 IE2021-4
Due to the huge amount of information in digital video signals, video compression is used to reduce the amount of inform... [more] SIP2021-4 BioX2021-4 IE2021-4
pp.15-20
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-01
16:40
Online Online VVC Video Coding with Deep Learning Based Frame Interpolation
Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) IMQ2020-18 IE2020-58 MVE2020-50
Recently, many deep learning based models for frame interpolation have been proposed. In this paper, we propose a novel ... [more] IMQ2020-18 IE2020-58 MVE2020-50
pp.40-45
IE 2021-01-21
16:05
Online Online [Invited Talk] Deblocking filter control of Versatile Video Coding
Shunsuke Iwamura, Atsuro Ichigaya, Shimpei Nemoto (NHK) IE2020-39
H.266|MPEG-I VVC(Versatile Video Coding), the latest standard jointly developed by ITU-T SG16 Q.6 and ISO/IEC JCT 1/SC29... [more] IE2020-39
p.18
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
13:00
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Video Coding by Inter Prediction Using Super-Resolved or Blurred Local-Decoded Pictures
Yasutaka Matsuo (NHK) IMQ2019-35 IE2019-117 MVE2019-56
In order to improve the video coding efficiency for scene of varying amount of motion blur, a novel inter prediction met... [more] IMQ2019-35 IE2019-117 MVE2019-56
pp.97-102
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
14:50
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
A high-compression video coding method for video analysis using Deep Learning
Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60
In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method anal... [more] IMQ2019-39 IE2019-121 MVE2019-60
pp.121-126
 Results 1 - 20 of 186  /  [Next]  
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