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.
Scope and topics of the workshopThe workshop welcomes a wide range of multimedia computing topics including, but not limited to:
- Urban event detection and analysis
- Crowdedness estimation
- Real-time asset monitoring
- Efficient handling of citizen reports
- Modelling and improving city liveability
- Urban object detection
- Developing advanced, highly accurate and safe high definition maps for self-driving vehicles
- Location recommendation and virtual city exploration
- Making sense of weak signals for emerging event detection and planning (related to e.g. food security, health epidemic and financial crisis)
- Using urban data in planning for future smart and green cities
- Mobile crowdsourcing, urban awareness, and collective action
- Automatic mapping of footpath accessibility
- Urban data analytics for sustainability assessment
Paper Submission GuidelinesThe workshop invites two types of submissions in standard ACM MM 2021 format:
- Research papers of varying length from 6 to 8 pages, plus additional pages for the reference pages. The reference page(s) are not counted towards the page limit of 6 to 8 pages.
- Demo papers, which can be 2 pages long (excluding references), with the exception that the papers need not be blind.
- After signing in the ACM MM 2021 submission site as the author, please choose our workshop name to submit the paper.
Important DatesPlease note that all submission deadlines are at 23:59 on the given date according to Anywhere on Earth (AoE) time zone.
- Workshop paper submission:
25 July 20211 August 2021
- Notification of acceptance: 26 August 2021
- Camera-ready paper submission: 31 August 2021
|GMT+8 Zone||UrbanMM’21 Agenda|
|14:00-14:10||Welcome and Introduction|
|15:15-16:35||Session: Paper Presentations
Please keep in mind that the session times are according to GMT+8 (Chengdu) time zone. Table below shows the workshop start time in the time zones of UrbanMM'21 authors and organisers.
The New Urban Success: How Culture Pays
Urban economists have put forward the idea that cities that are culturally interesting tend to attract “the creative class” and, as a result, end up being economically successful. Yet it is still unclear how economic and cultural dynamics mutually influence each other.
For the first time, we operationalize a neighborhood's cultural capital in terms of the cultural interests that pictures geo-referenced in the neighborhood tend to express. This is made possible by the mining of what users of the photo-sharing site of Flickr have posted in the cities of London and New York over 5 years.
We find that the combination of cultural capital and economic capital is indeed indicative of neighborhood growth in terms of house prices and improvements of socio-economic conditions. Culture pays, but only up to a point as it comes with one of the most vexing urban challenges: that of gentrification.
Interactive maps of the two cities, publication, and datasets are available under:
(TU Delft, NL)