97 citations · 128 across the 4 of their papers we have counts for
5 papers
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty +2
Video-analytics-as-a-service is becoming an important offering for cloud providers. A key concern in such services is privacy of the videos being analyzed. While trusted execution…
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan +2
Reducing the latency variance in machine learning inference is a key requirement in many applications. Variance is harder to control in a cloud deployment in the presence of stragg…
Collage Inference: Using Coded Redundancy for Low Variance Distributed Image Classification
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan +2
MLaaS (ML-as-a-Service) offerings by cloud computing platforms are becoming increasingly popular. Hosting pre-trained machine learning models in the cloud enables elastic scalabili…
ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Scale
Samvit Jain, Xun Zhang, Yuhao Zhou +4
Enterprises are increasingly deploying large camera networks for video analytics. Many target applications entail a common problem template: searching for and tracking an object or…
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…