| Sumario: | It is our great pleasure to welcome you to the 1st International Workshop on Human-Centric Multimedia Analysis (HuMA20). The workshop is co-located with ACM Multimedia 2020 in Seattle, United States. It addresses a very timely topic, the Human-centric multimedia analysis, which is one of the fundamental problems of multimedia understanding. It is a very challenging problem, which involves multiple tasks such as face detection and recognition, human body pattern analysis, person re-identification, human action detection, person tracking, human-object interaction, and so on. Today, multiple multimedia sensing technologies and large-scale computing infrastructures are producing at a rapid velocity a wide variety of big multi-modality data for human-centric analysis, which provide rich knowledge to help tackle these challenges. Researchers have strived to push the limits of human-centric multimedia analysis in a wide variety of applications, such as intelligent surveillance, retailing, fashion design, and services. Therefore, the purpose of this workshop is to: 1. bring together the state of the art research on human-centric multimedia analysis; 2. call for a coordinated effort to understand the opportunities and challenges emerging in human-centric multimedia analysis; 3. identify key tasks and evaluate the state-of-the-art methods; 4. showcase innovative methodologies and ideas; 5. introduce interesting real-world human-centric multimedia analysis systems or applications; and 6. propose new real-world datasets and discuss future directions. We solicit original contributions in all fields of human-centric multimedia analysis that explore the multi-modality data to help us understand the heavier of humans and promote the multimodal human-machine interaction. We believe the workshop will offer a timely collection of research updates to benefit the researchers and practitioners working in the broad multimedia communities. The call for papers for the workshop attracted 18 high-quality submissions from around the world of which 10 were accepted (55.6%).
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