The 3rd Workshop on Hot Topics in Video Analytics and Intelligent Edges

The 3rd Workshop on Hot Topics in Video Analytics and Intelligent Edges


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.

Call for Papers

This workshop calls for research on various issues and solutions that can enable live video analytics with the role for edge computing. Topics of interest include (but not limited to) the following:

  • Low-cost video analytics
  • Deployment experience with large array of cameras
  • Storage of video data and metadata
  • Interactive querying of video streams
  • Network design for video streams
  • Hybrid cloud architectures for video processing
  • Scheduling for multi-tenant video processing
  • Training of vision neural networks
  • Edge-based processor architectures for video processing
  • Energy-efficient system design for video analytics
  • Intelligent camera designs
  • Vehicular and drone-based video analytics
  • Tools and datasets for video analytics systems
  • Novel vision applications
  • Video analytics for social good
  • Secure processing of video analytics
  • Privacy-preserving techniques for video processing
  • Emerging forms of immersive video streams, e.g., 360-degree or volumetric video

Submission Instructions:
Submissions must be original, unpublished work, and not under consideration at another conference or journal. Submitted papers must be no longer than five (5) pages, including all figures, tables, followed by as many pages as necessary for bibliographic references. Submissions should be in two-column 10pt ACM format with authors names and affiliations for single-blind peer review. The workshop also solicits the submission of research, platform, and product demonstrations. Demo submission should be a summary or extended abstract describing the research to be presented, maximum one (1) page with font no smaller than 10 point size, in PDF file format. Demo submission title should begin with “Demo:”.

Authors of accepted papers are expected to present their work at the workshop. Papers accepted for presentation will be published in the MobiCom Workshop Proceedings, and available at the ACM Digital Library. You may find these templates useful in complying with formatting requirements.

Submission site:

Important Dates:
Paper Submissions Deadline: May 21 June 4, 2021
Acceptance Notification: June 30, 2021
Camera-ready Papers Due: July 31, 2021
Workshop Date: Oct. 25, 2021


Program Committee: