[image 05032] Re: [CFP] IEEE Multimedia Information Processing & Retrieval (MIPR) 2023
Ichiro IDE
ide @ i.nagoya-u.ac.jp
2023年 5月 5日 (金) 00:30:10 JST
Image MLの皆様,
井手@名大です.
先日来ご案内しております標記国際会議について,更に締切を延長しましたの
で,引き続き,投稿をご検討下さい.
- Regular Paper (6 pages) and Short Paper (4 pages) Submission Due:
*** May 10, 2023 ***
- Notification of Decision: June 20, 2023
- Camera-ready deadline: July 10, 2023
--
CALL FOR PAPERS
Sixth IEEE International Conference on Multimedia Information
Processing and Retrieval (MIPR 2023)
30 August - 1 September 2023, Singapore
http://ieee-mipr.org/
The Sixth IEEE International Conference on Multimedia Information
Processing and Retrieval (IEEE MIPR 2023) will take place both
physically and virtually, August 30 - September 1, 2023, in
Singapore. The conference will provide a forum for original research
contributions and practical system design, implementation, and
applications of multimedia information processing and retrieval.
Topics (Please see http://ieee-mipr.org/call_papers.html).
Topics of interest include, but are not limited to:
1. Multimedia Retrieval
2. Machine Learning/Deep Learning/Data Mining
3. Content Understanding and Analytics
4. Multimedia and Vision
5. Networks for Multimedia Systems
6. Systems and Infrastructures
7. Data Management
8. Novel Applications
9. Internet of Multimedia Things
and others.
Paper Submission:
The conference will accept regular papers (6 pages), short papers (4
pages), and demo papers (4 pages). Authors are encouraged to compare
their approaches, qualitatively or quantitatively, with existing work
and explain the strength and weakness of the new approaches. We are
planning to invite selected submissions to journal special issues.
Instructions and a link to the submission website are available here:
https://cmt3.research.microsoft.com/MIPR2023
Important Dates (http://ieee-mipr.org/dates.html):
- Regular Paper (6 pages) and Short Paper (4 pages) Submission Due:
May 10, 2023
- Notification of Decision: June 20, 2023
- Camera-ready deadline: July 10, 2023
- Conference Date: August 30-Sep 1, 2023
--
■ 井手 一郎 ide @ i.nagoya-u.ac.jp ■
■ 名古屋大学 大学院情報学研究科 知能システム学専攻 ■
■ /数理・データ科学教育研究センター 基盤教育部門 ■
■ 電話/ファクシミリ:(052)789-3313[直通] ■
■ 住所:〒464-8601 名古屋市千種区不老町1 IB電子情報館南棟457号室 ■
■ WWW: http://www.cs.is.i.nagoya-u.ac.jp/users/ide/index-j.html ■
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