[image 05025] Re: [CFP] IEEE Multimedia Information Processing & Retrieval (MIPR) 2023

[Ichiro IDE]

Image MLの皆様,

井手＠名大です．

先日ご案内しました標記国際会議について，以下のように締切などを延長しま
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 3, 2023 ***

  - Notification of Decision: June 20, 2023

  - Camera-ready deadline: July 10, 2023

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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:
  April 19, 2023
  - Notification of Decision: May 25, 2023
  - Camera-ready deadline: July 10, 2023
  - Conference Date: August 30-Sep 1, 2023
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■ 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		  ■
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■ 	WWW： http://www.cs.is.i.nagoya-u.ac.jp/users/ide/index-j.html	  ■