International Conference on Multimedia Information Processing and Retrieval Call for Papers

Call for Papers for the IEEE MIPR2023
Conference to be held in Singapore in August-September.

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*** Submission Deadline: 19 April 2023 PST ***
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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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* Ichiro IDE					   ide@i.nagoya-u.ac.jp  *
* Nagoya University, Graduate School of Informatics			 *
* 	 	     / Mathematical & Data Science Center		 *
*	Phone/Facsimile: +81-52-789-3313				 *
* 	Address: #IB457, 1 Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan *
* 	WWW: http://www.cs.is.i.nagoya-u.ac.jp/users/ide/index.html	 *

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