activity
20022020
most citedFocus: Querying Large Video Datasets with Low Latency and Low Cost

97 citations · 147 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2020★ 21 cited

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan +6

Video analytics applications use edge compute servers for the analytics of the videos (for bandwidth and privacy). Compressed models that are deployed on the edge servers for infer…

cs.CR2020★ 2 cited

Amadeus: Scalable, Privacy-Preserving Live Video Analytics

Sandeep Dsouza, Victor Bahl, Lixiang Ao +1

Smart-city applications ranging from traffic management to public-safety alerts rely on live analytics of video from surveillance cameras in public spaces. However, a growing numbe…

cs.DB2018★ 97 cited

Focus: Querying Large Video Datasets with Low Latency and Low Cost

Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodik +4

Large volumes of videos are continuously recorded from cameras deployed for traffic control and surveillance with the goal of answering "after the fact" queries: identify video fra…

eess.SY2017★ 2 cited

Modeling Actuation Constraints for IoT Applications

Bharathan Balaji, Brad Campbell, Amit Levy +8

Internet of Things (IoT) promises to bring ease of monitoring, better efficiency and innovative services across many domains with connected devices around us. With information from…

cs.NI2002★ 25 cited

Analysis of a Cone-Based Distributed Topology Control Algorithm for Wireless Multi-hop Networks

Erran L. Li, Joseph Y. Halpern, Paramvir Bahl +2

The topology of a wireless multi-hop network can be controlled by varying the transmission power at each node. In this paper, we give a detailed analysis of a cone-based distribute…