MMArt-ACM'21: International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2021
Pages 692 - 693
Abstract
The International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia (MMArt-ACM) solicits contributions on methodology advancement and novel applications of multimedia artworks and attractiveness computing that emerge in the era of big data and social media. The topics of the accepted papers cover an analytic topic on comic contents understanding to generative topics on image synthesis and conversion. The actual MMArt-ACM'21 Proceedings are available at: https://dl.acm.org/doi/proceedings/10.1145/3460426.
References
[1]
Gibran Benitez-Garcia and Keiji Yanai. 2021. Ketchup GAN: A new dataset for realistic synthesis of letters on food. In Proceedings of the 2021 International Joint Workshop on Artwork Analysis and Attractiveness Computing in Multimedia (MMArt-ACM2021). ACM, New York, NY.
[2]
Wei-Ta Chu, Ichiro Ide, Naoko Nitta, Norimichi Tsumura, and Toshihiko Yamasaki. 2020. MMArt-ACM'20: International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2020. In Proceedings of the 2020 International Conference on Multimedia Retrieval (ICMR2020). ACM, New York, NY, 582--583. https://doi.org/10.1145/3372278.3388042
[3]
Kodai Imaizumi, Ryosuke Yamanishi, Yoko Nishihara, and Takahiro Ozawa. 2021. Estimating groups of featured characters in comics with sequence of characters' appearance. In Proceedings of the 2021 International Joint Workshop on Artwork Analysis and Attractiveness Computing in Multimedia (MMArt-ACM2021). ACM, New York, NY.
[4]
Atsushi Takada, Xueting Wang, and Toshihiko Yamasaki. 2021. Color-grayscale-pair image sentiment dataset and its application to sentiment-driven image color conversion. In Proceedings of the 2021 International Joint Workshop on Artwork Analysis and Attractiveness Computing in Multimedia (MMArt-ACM2021). ACM, New York, NY.
[5]
Yi-Hsuan Yang. 2021. Automatic music composition with transformers. In Proceedings of the 2021 International Joint Workshop on Artwork Analysis and Attractiveness Computing in Multimedia (MMArt-ACM2021). ACM, New York, NY.
Index Terms
- MMArt-ACM'21: International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2021
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ICMR '22: Proceedings of the 2022 International Conference on Multimedia RetrievalIn addition to classical art types like paintings and sculptures, new types of artworks emerge following the advancement of deep learning, social platforms, media capturing devices, and media processing tools. Large volumes of machine-/user-generated ...
MMArt-ACM'20: International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2020
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Information & Contributors
Information
Published In
August 2021
715 pages
ISBN:9781450384636
DOI:10.1145/3460426
- General Chairs:
- Wen-Huang Cheng,
- Mohan Kankanhalli,
- Meng Wang,
- Program Chairs:
- Wei-Ta Chu,
- Jiaying Liu,
- Marcel Worring
Copyright © 2021 Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 September 2021
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ICMR '21
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Overall Acceptance Rate 254 of 830 submissions, 31%
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