[dbjapan] CFP: MIPR 2021 Special Session on Knowledge-Driven Multi-modal Deep Analysis for Multimedia

[Jianwei ZHANG <zhang [at] iwate-u.ac.jp>]

日本データベース学会の皆様
（重ねてお受け取りの方はご容赦下さい）

岩手大学の張と申します．
お世話になっております．

2021年3月22-24日に開催される国際会議 MIPR 2021 では，
Knowledge-Driven Multi-modal Deep Analysis for Multimedia
というSpecial Session を企画しております．
CFP をご案内させていただきます．

関連分野に従事される皆様のご投稿をご検討いただけましたら幸いです．
どうぞ宜しくお願い致します．


https://mipr2021.org/pages/ss_kmdam/

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Special Session: Knowledge-Driven Multi-modal Deep Analysis for Multimedia
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With the rapid development of Internet and multimedia services in the 
past decade, a huge amount of user-generated and service 
provider-generated multimedia data become available. These data are 
heterogeneous and multi-modal in nature, imposing great challenges for 
processing and analyzing them. Multi-modal data consist of a mixture of 
various types of data from different modalities such as texts, images, 
videos, audios etc. Data-driven correlational representation and 
knowledge-guided fusion are the main scientific problems for multimedia 
analysis. In order to gather and present innovative research on the 
following aspects: 1) multi-modal correlational representation: 
multi-modal fusion of data across different modalities, and 2) 
multi-modal data and knowledge fusion: multi-modal fusion of data with 
domain knowledge, we solicit submissions of high-quality manuscripts 
reporting the state-of-the-art techniques and trends in this field.

** List of Topics

Multi-modal representation learning with knowledge
Multi-modal data fusion with knowledge
Knowledge representation for multi-modal data
Deep cross-modality alignment with knowledge
Methodology and architectures to improve model explainability with knowledge
Multi-modal deep analysis for innovative multimedia applications, such 
as person reidentification, social network analysis, cross-modal 
retrieval, recommendation systems and so on.

** 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. To submit your 
papers to this session, please select the “Special Session: 
Knowledge-Driven Multi-modal Deep Analysis for Multimedia” in Microsoft 
CMT submission site.

** Special Session Organizers

Jianwei Zhang (Iwate University, Japan) zhang [at] iwate-u.ac.jp
Xiahui Tao (University of Southern Queensland, Australia) 
Xiaohui.tao [at] usq.edu.au


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張　建偉　/　岩手大学理工学部
http://www.zl.cis.iwate-u.ac.jp/~zjw/wiki/