Presentation 2023-03-03
A Study on Efficient Deep Learning Models for WebRTC Using Super-Resolution
Natsuki Mino, Katsuya Suto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NS2022-231
Date of Issue 2023-02-23 (NS)

Conference Information
Committee IN / NS
Conference Date 2023/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Convention Centre + Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT)
Vice Chair Tsutomu Murase(Nagoya Univ.) / Takumi Miyoshi(Shibaura Insti of Tech.)
Secretary Tsutomu Murase(KDDI Research) / Takumi Miyoshi(Nagaoka Univ. of Tech.)
Assistant / Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Information Networks / Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Efficient Deep Learning Models for WebRTC Using Super-Resolution
Sub Title (in English)
Keyword(1)
1st Author's Name Natsuki Mino
1st Author's Affiliation The University of Electro-Communications(UEC)
2nd Author's Name Katsuya Suto
2nd Author's Affiliation The University of Electro-Communications(UEC)
Date 2023-03-03
Paper # NS2022-231
Volume (vol) vol.122
Number (no) NS-406
Page pp.pp.368-371(NS),
#Pages 4
Date of Issue 2023-02-23 (NS)