[visionlist] [CFP:] ACM MM 2022 workshop on Human Centric Multimedia Analysis

[Dingwen Zhang]

We are organizing the 3rd International Workshop on Human Centric
Multimedia Analysis. As one of the fundamental problems in multimedia
understanding, human-centric multimedia analysis is a very challenging
problem that involves multiple tasks such as face detection and
recognition, human pose estimation, human action detection, human-object
interaction, person tracking, person re-identification, and so on. 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 research and demo papers in (but not
limited to) the following topics:

· Face detection, recognition, face anti-spoofing, face landmark detection
and parsing.

· Human detection, pose estimation, human parsing, and pose tracking.

· Human 3D shape estimation and reconstruction.

· Human gait recognition, person re-identification and person tracking.

· Human action recognition and detection

· Human activity recognition using non-visual sensors

· Human-computer interaction / Human object interaction

· Multimedia event detection

· Anomaly event detection

· Human crowd analysis

Paper submission deadline:  July 14, 2022

Paper notification date: July 29, 2022

Camera-ready paper submission date: August 5, 2022

The submission deadline is at 11:59 p.m. of the stated date Anywhere on
Earth.

Paper length limitation:

· Research papers can be 4 to 8 pages. Up to two additional pages may be
added for references.

· Demo papers can be up to 2 pages.

More information can be referred to the homepage of the workshop:
https://hcma2022.github.io/. If you have any questions, please do not
hesitate to contact us by e-mail: chaoweifang at outlook.com.

-- 
Dingwen Zhang
https://zdw-nwpu.github.io/dingwenz.github.com/
Northwestern Polytechnical University
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