MMArt-ACM'20:多媒体艺术作品分析与吸引力计算国际联合研讨会2020

Proceedings of the 2020 International Conference on Multimedia Retrieval Pub Date : 2020-06-08 DOI:10.1145/3372278.3388042

W. Chu, I. Ide, Naoko Nitta, N. Tsumura, T. Yamasaki

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引用次数: 2

摘要

尽管受到新冠肺炎大流行的打击，本次研讨会吸引了这两个领域的不同主题的提交，研讨会计划最终由五篇论文组成。主题包括图像检索，图像转换和生成，推荐系统和图像/视频摘要。实际的MMArt-ACM'20会议录可在ACM DL上获得:https://dl.acm.org/citation.cfm?id=3379173

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

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

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Proceedings of the 2020 International Conference on Multimedia Retrieval

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