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MMArt-ACM'20: International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2020

Published: 08 June 2020 Publication History
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  • 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 deep learning. Despite the strike of the Covid-19 pandemic, this workshop attracts submissions of diverse topics in these two fields, and the workshop program finally consists of five presented papers. The topics cover image retrieval, image transformation and generation, recommendation system, and image/video summarization. The actual MMArt-ACM'20 Proceedings are available in the ACM DL at: https://dl.acm.org/citation.cfm?id=3379173

    References

    [1]
    Gibran Benitez-Garcia, Wataru Shimoda, and Keiji Yanai. 2020. Style Image Retrieval for Improving Material Translation Using Neural Style Transfer. In Proc. of MMArt-ACM .
    [2]
    Wei-Ta Chu and Lin-Yu Ko. 2020. BatikGAN: A Generative Adversarial Network for Batik Creation. In Proc. of MMArt-ACM.
    [3]
    Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, and Seiichi Uchida. 2020. Iconify: Converting Photographs into Icons. In Proc. of MMArt-ACM.
    [4]
    Yuto Nakamae, Xueting Wang, and Toshihiko Yamasaki. 2020. Recommendations for Attractive Hairstyles. In Proc. of MMArt-ACM .
    [5]
    Akari Shimono, Yuki Kakui, and Toshihiko Yamasaki. 2020. Automatic YouTube-Thumbnail Generation and Its Evaluation. In Proc. of MMArt-ACM .

    Cited By

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    • (2023)Batik Nitik 960 Dataset for Classification, Retrieval, and GeneratorData10.3390/data80400638:4(63)Online publication date: 24-Mar-2023
    • (2021)MMArt-ACM'21: International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2021Proceedings of the 2021 International Conference on Multimedia Retrieval10.1145/3460426.3470946(692-693)Online publication date: 24-Aug-2021

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    cover image ACM Conferences
    ICMR '20: Proceedings of the 2020 International Conference on Multimedia Retrieval
    June 2020
    605 pages
    ISBN:9781450370875
    DOI:10.1145/3372278
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 June 2020

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    Author Tags

    1. attractiveness computing
    2. multimedia artworks analysis

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    Overall Acceptance Rate 254 of 830 submissions, 31%

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    Cited By

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    • (2023)Batik Nitik 960 Dataset for Classification, Retrieval, and GeneratorData10.3390/data80400638:4(63)Online publication date: 24-Mar-2023
    • (2021)MMArt-ACM'21: International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia 2021Proceedings of the 2021 International Conference on Multimedia Retrieval10.1145/3460426.3470946(692-693)Online publication date: 24-Aug-2021

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