10 May
2023
10 May
'23
10:59 a.m.
DBSJの皆様,
井手＠名大です．
お世話になっております．標記の国際会議におけるデモ発表について，以下の
通り募集します．ふるってご投稿下さい．
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*** Demo Submission Deadline: 18 May 2023 PST ***
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CALL FOR DEMONSTRATIONS
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 organizing committee invites proposals for technical
demonstrations to be presented in conjunction with the
conference. Technical Demonstrations will show leading edge work in
any area of multimedia information retrieval. Demonstrations offer the
opportunity to present and receive feedback on live working systems in
an informal setting.
Topics (Please see http://www.ieee-mipr.org/call_demo_papers.html).
Topics of interest include, but are not limited to:
1. Multimedia Information Retrieval
2. Machine Learning/Deep Learning/Data Mining Multimedia
3. Content Understanding and Analytics in Multimedia
4. Multimedia and Vision
5. Fake Multimedia
6. Multimedia Information Systems and Infrastructures
7. Multimedia Data Management
8. Novel Applications in Multimedia
9. Internet of Multimedia Things
and others.
Paper Submission:
The written and spoken language of IEEE MIPR 2023 is English. For
technical demonstrations, authors should submit a 4-page manuscript in
double-column IEEE format including the authors' names and
affiliations, following the submission guidelines available on the
IEEE MIPR 2023 web page here:
http://www.ieee-mipr.org/submit_instruction.html
The link to the submission website is as follows:
https://cmt3.research.microsoft.com/MIPR2023
Important Dates (http://ieee-mipr.org/dates.html):
- Demo Submissions Due: May 18, 2023; 11:59 PM (PST)
- Notification of Decision: June 20, 2023
- Camera-ready deadline: July 10, 2023
- Conference Date: August 30-Sep 1, 2023
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■ 井手 一郎 ide(a)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 ■