@inproceedings{a450b8879e584daeabdc067883494559,
title = "HCMA '23: 4th International Workshop on Human-Centric Multimedia Analysis",
abstract = "Understanding human interactions within diverse media contexts has emerged as a fundamental challenge. The explosive growth of multimedia data not only provides opportunities for human-centirc analysis but also increases the complexity of processing multimodal data. To address this pivotal challenge and explore its multifaceted dimensions, the Fourth International Workshop on Human-Centric Multimedia Analysis is concentrated on the tasks of human-centric analysis with multimedia and multimodal information. By delving into the nuances of human behavior within multimedia, this workshop aims to uncover novel insights, showcase innovative methodologies, and discuss future directions. With a spotlight on cutting-edge research and a focus on real-world applications, the workshop seeks to equip researchers and practitioners with the tools and knowledge to navigate the intricacies of human-centric multimedia analysis.",
keywords = "human-centric, multi-modality., multimedia understanding",
author = "Jingkuan Song and Wu Liu and Xinchen Liu and Dingwen Zhang and {Chaowei Fang}, {Chaowei Fang} and Hongyuan Zhu and Wenbing Huang and John Smith and Xin Wang",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 31st ACM International Conference on Multimedia, MM 2023 ; Conference date: 29-10-2023 Through 03-11-2023",
year = "2023",
month = oct,
day = "26",
doi = "10.1145/3581783.3610947",
language = "英语",
series = "MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia",
publisher = "Association for Computing Machinery, Inc",
pages = "9734--9735",
booktitle = "MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia",
}