UrbanMM'21 proceedings of the 1st International Workshop on Multimedia Computing for Urban Data : October 20, 2021, Virtual Event, China

Editors
  • D. Gatica-Perez
  • K. Aizawa
Publication date 2021
ISBN (electronic)
  • 9781450386692
Number of pages 31
Publisher New York, NY: The Association for Computing Machinery
Organisations
  • Faculty of Economics and Business (FEB)
  • Faculty of Science (FNWI)
  • Faculty of Economics and Business (FEB) - Amsterdam Business School Research Institute (ABS-RI)
Abstract
It is our great pleasure to welcome you to the 1st International Workshop on Multimedia Computing for Urban Data (UrbanMM'21). The workshop is co-located with ACM Multimedia 2021. Due to the ongoing COVID-19 pandemic, the workshop is held virtually instead of onsite in Chengdu, China as originally planned.

Understanding complex processes that give cities their form traditionally relied primarily on the analysis of various open data statistics in relation to e.g. neighbourhood demographics, economy and mobility. However, recent years have seen an unprecedented increase in the availability and use of city-related sensors, participatory data and social multimedia. As the valuable information about urban challenges is usually encoded across multiple modalities, such as visual (e.g. panoramic, satellite and user-contributed images), text (e.g. social media and participatory data) and open data statistics, extracting this information requires effective multimedia analysis tools. UrbanMM'21 will showcase the power of multimedia computing in addressing various urban challenges, ranging from event detection and analysis, location recommendation and crowdedness estimation to more efficient handling of citizen reports and modelling and improving city liveability. In addition, it will serve as an impulse for the multimedia community to intensify research on these interesting, challenging and truly multimodal problems.
Document type Book (Editorship)
Language English
Related publication UrbanMM'21
Published at https://doi.org/10.1145/3475721
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