Advances in smart technologies are transforming cities and communities around the world through connecting their inhabitants and the surrounding built and natural environments, leading to new opportunities for innovations, improved services, and enhanced quality of life. In this new ear of transformational change, most developed communities are already equipped with visual sensors overseeing critical infrastructures (e.g. buildings, roadways, parking-lots etc.), which provides an intrusive way to extracting community-wide data (e.g., traffic conditions, emergency events) and thus supporting decision making in all aspects of smart communities. However, the popularity of visual data imposes new challenges due to their volume, arrival scale, variances, and complexity. The mission of this workshop is to bring together researchers and practitioners from diverse areas of artificial intelligence – vision, multimedia, learning, reasoning, planning etc., to explore both established and novel applications of visual analytic techniques. The developed techniques would potentially address problems related to the all aspects of smart communities – safety, security, transportation, information technologies, internet of things etc. In particular, the three goals of this event are to (a) identify the key challenges in visual analysis for smart and connected communities; (b) recognize the promising solutions to these challenges; and (c) remark the future of research in this inter-discipline domain.
The topics of this event include, but not being limited to,
Submission: July 19, 2017
Submission website: https://easychair.org/conferences/?conf=mmw17
Acceptance Notification: August 10, 2017
Camera-ready Submission: August 24, 2017
Workshop Summaries(to be included in MM proceedings): August 16, 2017
Workshop proceedings front matter & art: September 6, 2017
To Be Determined. Details can be found in ACM MM'2017
