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: chaoweifang@outlook.com.