skip to main content
10.1145/3477083acmconferencesBook PagePublication PagesmobicomConference Proceedingsconference-collections
HotEdgeVideo '21: Proceedings of the 3rd ACM Workshop on Hot Topics in Video Analytics and Intelligent Edges
ACM2021 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking New Orleans Louisiana 25 October 2021
ISBN:
978-1-4503-8700-2
Published:
25 October 2021
Sponsors:
Recommend ACM DL
ALREADY A SUBSCRIBER?SIGN IN

Reflects downloads up to 03 Jan 2025Bibliometrics
Abstract

No abstract available.

Skip Table Of Content Section
research-article
Characterizing real-time dense point cloud capture and streaming on mobile devices

Point clouds are a dense compilation of millions of points that can advance content creation and interaction in various emerging applications such as Augmented Reality (AR). However, point clouds consist of per-point real-world spatial and color ...

research-article
Public Access
Auto-SDA: Automated video-based social distancing analyzer

Social distancing can reduce infection rates in respiratory pandemics such as COVID-19, especially in dense urban areas. To assess pedestrians' compliance with social distancing policies, we use the pilot site of the PAWR COSMOS wireless edge-cloud ...

research-article
Public Access
Decentralized modular architecture for live video analytics at the edge

Live video analytics have become a key technology to support surveillance, security, traffic control, and even consumer multimedia applications in real time. The continuous growth in number of networked video cameras will further increase their ...

research-article
Enabling high frame-rate UHD real-time communication with frame-skipping

With a high frame-rate and high bit-rate, ultra-high definition (UHD) real-time communication (RTC) users could sometimes suffer from severe service degradation. Due to the fluctuations of frames incoming and decoding at the client side, a decoder queue ...

research-article
The case for admission control of mobile cameras into the live video analytics pipeline

In this paper we consider the problem of orchestrating video analytics applications over an edge computing infrastructure. Video analytics applications have been traditionally associated to the processing of video streams generated by fixed video ...

research-article
Open Access
Towards memory-efficient inference in edge video analytics

Video analytics pipelines incorporate on-premise edge servers to lower analysis latency, ensure privacy, and reduce bandwidth requirements. However, compared to the cloud, edge servers typically have lower processing power and GPU memory, limiting the ...

short-paper
Cost effective processing of detection-driven video analytics at the edge

We demonstrate a real-time video analytics system for applications that use objection detection models on incoming frames as part of their computation pipeline. Through edge-cloud collaboration, we show how a reinforcement learning based agent can skip ...

Recommendations