Abstract
The Second International Workshop on Human-centric Multimedia Analysis is focused on human-centric analysis using multimedia information. The human-centric multimedia analysis is one of the fundamental and challenging problems of multimedia understanding. It involves various human-centric analysis tasks like face recognition, human pose estimation, person re-identification, human action recognition, person tracking, human-computer interaction, etc. Nowadays, various multimedia sensing devices and large-scale computing infrastructures are generating a wide variety of multi-modality data at a rapid velocity, which supplies rich knowledge to tackle these challenges for human-centric analysis. Researchers and engineers have strived to push the limits of human-centric multimedia analysis in a wide variety of applications, such as smart city, retailing, intelligent manufacturing, and public services. To this end, our workshop aims to provide a platform to promote exchanges and integration for the fields of human analysis and multimedia.
| Original language | English |
|---|---|
| Title of host publication | MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 5690-5691 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450386517 |
| DOIs | |
| State | Published - 17 Oct 2021 |
| Event | 29th ACM International Conference on Multimedia, MM 2021 - Virtual, Online, China Duration: 20 Oct 2021 → 24 Oct 2021 |
Publication series
| Name | MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia |
|---|
Conference
| Conference | 29th ACM International Conference on Multimedia, MM 2021 |
|---|---|
| Country/Territory | China |
| City | Virtual, Online |
| Period | 20/10/21 → 24/10/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- face analysis
- human analysis
- human-centered computing
- multimedia and multimodal analysis
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