[Ieee_vis] Special Session: Multimedia Visualization and Interactive Retrieval (IEEE MIPR 2021, Tokyo)

[itot at is.ocha.ac.jp]

Call for Papers

Special Session: Multimedia Visualization and Interactive Retrieval
https://mipr2021.org/pages/ss_mvir/

IEEE 4th International Conference on Multimedia Information
Processing and Retrieval (IEEE MIPR 2021)
March 22-24, 2021. Tokyo, Japan.
https://mipr2021.org/


Multimedia Visualization and Interactive Retrieval Human-powered information
processing techniques are important and effective for both users and administrators
of multimedia systems. Quality and satisfaction of multimedia information retrieval
often depend on the preferences and feelings of users. Understanding of multimedia
content is important for the design and operations of multimedia systems.
This session focuses on visualization and interactive retrieval techniques that support
understanding, exploration, and explanation of multimedia content. The session also
welcomes advanced studies of visualization of interactions such as explainable
multimedia machine learning and interactive content recommendation systems.

*** Important Dates
Paper Submission Deadline: November 20, 2020
Notification of Acceptance: December 25, 2020
Camera-Ready Deadline: January 8, 2021

*** Paper Submission Instructions
Special session paper manuscripts must be in English of up to 6 pages excluding
references (using the IEEE two-column template instructions). Submissions should
include the title, author(s), affiliation(s), e-mail address(es), abstract, and postal
address(es) on the first page. The templates in Word or LaTex format are available
here (https://www.ieee.org/conferences/publishing/templates.html).
To submit your papers to this session, please select the “Special Session: Multimedia
Visualization and Interactive Retrieval” in Microsoft CMT submission site
(https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FMIPR2021%2FSubmission%2FIndex).

*** Special Session Organizers
Takayuki Itoh (Ochanomizu University, Japan) itot at is.ocha.ac.jp
Masashi Toyoda (The University of Tokyo, Japan) toyoda at tkl.iis.u-tokyo.ac.jp



Takayuki Itoh (伊藤貴之) (itot at is.ocha.ac.jp)
Dept. of Information Sciences, Ochanomizu University
http://itolab.is.ocha.ac.jp/~itot/
**「意思決定を助ける情報可視化技術 - ビッグデータ・機械学習・VR/ARへの応用 -」
**2018年3月発売  http://www.coronasha.co.jp/np/isbn/9784339028836/