UrbanMM'21 1st International Workshop on Multimedia Computing for Urban Data

Open Access
Authors
  • D. Gatica-Perez
  • K. Aizawa
Publication date 2021
Book title MM '21
Book subtitle Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China
ISBN (electronic)
  • 9781450386517
Event 29th ACM International Conference on Multimedia, MM 2021
Pages (from-to) 5696-5697
Number of pages 2
Publisher New York, NY: Association for Computing Machinery
Organisations
  • Faculty of Science (FNWI)
  • Faculty of Economics and Business (FEB) - Amsterdam Business School Research Institute (ABS-RI)
Abstract

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. This Workshop 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 Conference contribution
Language English
Related publication UrbanMM'21
Published at https://doi.org/10.1145/3474085.3478577
Other links https://www.scopus.com/pages/publications/85119338276
Downloads
3474085.3478577 (Final published version)
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