[dbjapan] [CFP] IEEE Multimedia Information Processing & Retrieval (MIPR) 2023

DBSJの皆様, 井手＠名大です． お世話になっております．標記の国際会議について，以下の通りご案内します． ふるってご投稿下さい． ********************************************* *** Submission Deadline: 19 April 2023 PST *** ********************************************* 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 -- ■ 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 ■