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Proceedings of the 2nd International Workshop on Human-centric Multimedia Analysis : October 12, 2021, virtual event, China / Wu Liu [and six others].

ACM Digital Library Available online

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Format:
Book
Author/Creator:
Liu, Wu, author.
Series:
ACM Conferences
Language:
English
Subjects (All):
Human-computer interaction--Congresses.
Human-computer interaction.
Physical Description:
1 online resource (50 pages) : illustrations.
Other Title:
HUMA'21
Place of Publication:
New York : Association for Computing Machinery, [2021]
Summary:
It is our great pleasure to welcome you to the 2nd Human-centric Human Analysis Workshop (HUMA'21), which is co-located with ACM Multimedia 2021 in Chengdu, China. This workshop is concentrated on the human-centric multimedia analysis, which is one of the fundamental problems in multimedia understanding. It is a very challenging problem that involves multiple tasks such as face detection and recognition, human pose estimation, human action detection, person tracking, and so on. Today, ubiquitous multimedia sensors and large-scale computing infrastructures are producing a wide variety of big multimodality data for human-centric analysis, which provides rich knowledge to tackle these challenges. Researchers have strived to push the limits of human-centric multimedia analysis in various 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 understand the behavior of humans. We believe this workshop can offer a timely collection of research updates to benefit researchers and practitioners in the broad multimedia communities.
Notes:
Description based on print version record.

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