HCMA2021.GITHUB.IO

Human-centric multimedia analysis 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, human-object interaction, person tracking, person re-identification, and so on. Today, ubiquitous multimedia sensors and large-scale computing infrastructures are producing at a rapid velocity a wide variety of big multi-modality 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..