3rd International Workshop on Human-Centric Multimedia Analysis Call for Papers
ACM Multimedia 2022
3rd International Workshop on Human-Centric Multimedia Analysis
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: email@example.com.