(in conjunction with ACM MobiCom 2021)
Paper Submissions Deadline:
May 21 June 4, 2021
Submission Site: https://hotedgevideo21.hotcrp.com/
We are all living in the golden era of AI that is being fueled by game-changing systemic infrastructure advancements. Among numerous applications, video analytics in particular, has shown tremendous potential to impact science and society due to breakthroughs in machine learning, copious training data, and pervasive deployment of video capture devices.
Analyzing live video streams is arguably the most challenging of domains for “systems-for-AI”. Unlike text or numeric processing, video analytics require higher bandwidth, consume considerable compute cycles for processing, necessitate richer query semantics, and demand tighter security & privacy guarantees. Video analytics has a symbiotic relationship with edge compute infrastructure. Edge computing makes compute resources available closer to the data sources (e.g., cameras and smartphones). All aspects of video analytics call to be designed “green-field”, from vision algorithms, to the systems processing stack and networking links, and hybrid edge-cloud infrastructure. Such a holistic design will enable the democratization of live video analytics such that any organization with cameras can obtain value from video analytics.