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Coping with Pandemics: Opportunities and Challenges for AI Multimedia in the "New Normal"

Published: 12 October 2020 Publication History

Abstract

Theworld iswelcoming the newnormal - the coronavirus pandemic has significantly changed the way people live, work, communicate and learn. Almost everyone now is wearing a face mask when they go in public. People are working from home, some taking care of children at the same time. Bars and restaurants are limited to carry-out and delivery only. Meetings and conferences go online. Schools are closed and educators are instead holding video conference classes regularly. All these become the new normal as our ways of life. The panel thus provides a valuable opportunity for people from a variety of backgrounds to exchange views on opportunities and challenges for AI multimedia in the current and post pandemics era.

References

[1]
Hung-Jen Chen, Ka Ming Hui, Szu Yu Wang, Li-Wu Tsao, Hong-Han Shuai, and Wen-Huang Cheng. 2019. BeautyGlow: On-Demand Makeup Transfer Framework with Reversible Generative Network. In 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).
[2]
Shintami Chusnul Hidayati, Cheng-Chun Hsu, Yu-Ting Chang, Kai-Lung Hua, Jianlong Fu, and Wen-Huang Cheng. 2018. What Dress Fits Me Best? Fashion Recommendation on the Clothing Style for Personal Body Shape. In Proceedings of the 26th ACM International Conference on Multimedia (MM 2018).
[3]
Shintami Chusnul Hidayati, Chuang-Wen You, Wen-Huang Cheng, and Kai-Lung Hua. 2018. Learning and Recognition of Clothing Genres from Full-body Images. IEEE Transactions on Cybernetics 48, 5 (May 2018), 1647--1659.
[4]
Chia-Wei Hsieh, Chieh-Yun Chen, Chien-Lung Chou, Hong-Han Shuai, Jiaying Liu, and Wen-Huang Cheng. 2019. FashionOn: Semantic-guided Image-based Virtual Try-on with Detailed Human and Clothing Information. In Proceedings of the 27th ACM International Conference on Multimedia (MM 2019).

Cited By

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  • (2023)COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak controlFrontiers in Artificial Intelligence10.3389/frai.2023.12665606Online publication date: 8-Nov-2023
  • (2022)Evaluating User Experience (UX) Factors and Emotions of Open Distance Learning (ODL) during the Pandemic Covid-19 among Secondary School StudentsInternational Journal of Information and Education Technology10.18178/ijiet.2022.12.12.176112:12(1374-1380)Online publication date: 2022

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  1. Coping with Pandemics: Opportunities and Challenges for AI Multimedia in the "New Normal"

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    cover image ACM Conferences
    MM '20: Proceedings of the 28th ACM International Conference on Multimedia
    October 2020
    4889 pages
    ISBN:9781450379885
    DOI:10.1145/3394171
    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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    New York, NY, United States

    Publication History

    Published: 12 October 2020

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    Author Tags

    1. ai multimedia
    2. opportunities and challenges
    3. pandemics

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    Cited By

    View all
    • (2023)COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak controlFrontiers in Artificial Intelligence10.3389/frai.2023.12665606Online publication date: 8-Nov-2023
    • (2022)Evaluating User Experience (UX) Factors and Emotions of Open Distance Learning (ODL) during the Pandemic Covid-19 among Secondary School StudentsInternational Journal of Information and Education Technology10.18178/ijiet.2022.12.12.176112:12(1374-1380)Online publication date: 2022

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