[image 03805] [CFP] MMArt-ACM2020

[Ichiro IDE]

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井手＠名大です．

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標記のワークショップについて，ご案内します．
皆様の投稿をお待ちしております．

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                           Call for Papers

                              MMArt-ACM
    International Joint Workshop on Multimedia Artworks Analysis
                                and
             Attractiveness Computing in Multimedia 2020

         in conjunction with ACM ICMR 2020 @ Dublin, Ireland

  http://www.attractiveness-computing.org/mmart_acm2020/index.html
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The International Workshop on Multimedia Artworks Analysis (MMArt) and
the International Workshop on Attractiveness Computing in Multimedia
(ACM) are two independent workshops that provide highly interactive
venues for researchers in multimedia artworks analysis and
attractiveness computing. In the past years, two MMArts were held in
conjunction with ICME 2016 and 2017, and two ACMs were held in
conjunction with BigMM 2016 and 2017. At ICMR 2018 and 2019, we
jointly hosted the two workshops in order to increase the visibility
to attendants of both events which ended in a great success.
Following these success, we decided to continue this style at ICMR
2020.

We solicit original researchers on both fields. Particularly, MMArt
focuses on novel contributions to multimedia research that focus on
emerging type of artworks. In addition to conventional artforms like
paintings and photos, we will especially encourage contributions that
propose new methodologies, novel challenges, and new applications for
emerging multimedia artworks such as comics, illustrations, micro
films, animations, and games, which may be largely available on social
media platforms and are associated with user's comments and ratings.

ACM is intended to provide a forum for researchers and engineers to
present their latest innovations and share their experiences on all
aspects of attractiveness computing in multimedia.

Topics of ACM include, but are not limited to:
 - Creation: content synthesis and collaboration; creation of novel
   artworks; connecting traditional art with novel art; connecting
   real-world art with digital artworks.
 - Editing: content authoring, composition, summarization, and
   presentation; multimodality integration.
 - Indexing and retrieval: novel features and structure to index
   multimedia artworks; retrieval interface and model; socially-aware
    analysis.
 - Methodology: machine learning for multimedia artworks;
   classification and pattern recognition for multimedia artworks;
   generic model and heuristics in analysis.
 - Interaction: interaction on various devices; user in the loop of
   computation; human factors in artworks.
 - Evaluation: dataset development; evaluation of systems for
   multimedia artworks; design of user study; limitation of the
   state-of-the-art.
 - Novel applications: novel application scenarios; development of
   novel challenges and perspectives

[Paper Submissions]
 - Format: All papers must be formatted according to the ACM
   proceedings style.
 - Length: All technical contents including the main text, figures,
   tables, and reference should be included within 6 pages. For any
   over-length submission, we reserve the right to reject it outright
   on administrative basis. 
 - Presentation: The language of the conference is English. Any paper
   whose language usage is not up to the academic standards, i.e., is
   not appropriate for the final ACM Digital Library proceedings, will
   be rejected outright. Please kindly proofread your paper carefully
   before submission. 
 - Submissions should be made through the Easy Chair submission system.

 * For details, please refer to the Workshop's Web page.

[Important Dates]
 - Paper submission deadline: March 12, 2020
 - Review notification:       March 28, 2020
 - Camera-ready deadline:     April 15, 2020
 - Workshop:  One day during June 8-11, 2020

[Organizers]
 - Wei-Ta CHU (National Cheng-Kung University, Taiwan)
 - Ichiro IDE (Nagoya University, Japan)
 - Naoko NITTA (Osaka University, Japan)
 - Norimichi TSUMURA (Chiba University, Japan)
 - Toshihiko YAMASAKI (The University of Tokyo, Japan)
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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			  ■
■	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461号室	  ■
■ 	WWW： http://www.murase.m.is.nagoya-u.ac.jp/~ide/index-j.html	  ■