GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan , Neil Agarwal , Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 2023
Microsoft Rocket for Live Video Analytics
论文与出版物
按年份分类的论文与出版物
-
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
USENIX NSDI | April 2023
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
-
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
ACM/IEEE Symposium on Edge Computing | December 2021
PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation
Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong
MobiCom '21 | October 2021
Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
-
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
IEEE International Conference on Distributed Computing Systems (ICDCS) | December 2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
作者：Microsoft
arXiv:2012.10557
Spatula: Efficient cross-camera video analytics on large camera networks
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez
ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020
SEC 2020 Best Paper Award
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
Live Video Analytics with Microsoft Rocket for reducing edge compute costs
Ganesh Ananthanarayanan, Yuanchao Shu, Mustafa Kasap, Avi Kewalramani, Milan Gada, Victor Bahl
July 2020
Spider: Next generation Live Video Analytics over Millimeter-Wave Networks
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
MSR-TR-2020-17 | May 2020
作者：Microsoft
The Emerging Landscape of Edge-Computing
Shadi Noghabi, Landon Cox, Sharad Agarwal, Ganesh Ananthanarayanan
ACM SIGMOBILE GetMobile | March 2020
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
-
Traffic Video Analytics – Case Study Report
Ganesh Ananthanarayanan, Victor Bahl, Yuanchao Shu, Franz Loewenherz, Daniel Lai, Darcy Akers, Peiwei Cao, Fan Xia, Jiangbo Zhang, Ashley Song
MSR-TR-1970-3 | December 2019
作者：Microsoft and City of Bellevue
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary
John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Live Video Analytics with FPGA-based Smart Cameras
Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Networked Cameras Are the New Big Data Clusters
Junchen Jiang, Yuhao Zhou, Ganesh Ananthanarayanan, Yuanchao Shu, Andrew A. Chien
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
ACM Computing Surveys | July 2019
Demo: Video Analytics – Killer App for Edge Computing
Ganesh Ananthanarayanan, Victor Bahl, Landon Cox, Alex Crown, Shadi Noghabi, Yuanchao Shu
ACM MobiSys | June 2019
MobiSys Best Demo Runner-up Award
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
ICML 2019 Workshop on Coding Theory For Large-scale Machine Learning | June 2019
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
-
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
Chameleon: Scalable Adaptation of Video Analytics
Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica
ACM Special Interest Group on Data Communication (SIGCOMM) | August 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
作者：Microsoft
arXiv:1801.03493
-
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
ParkMaster: An in–vehicle, edge–based video analytics service for detecting open parking spaces in urban environments
Giulio Grassi, Victor Bahl, Giovanni Pau, Kyle Jamieson
SEC '17 | August 2017
Panoptes: Servicing Multiple Applications Simultaneously using Steerable Cameras
Shubham Jain, Viet Nguyen, Marco Gruteser, Victor Bahl
The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks | April 2017
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
Video Analytics Towards Vision Zero
Franz Loewenherz, Victor Bahl, Yinhai Wang
ITE Journal | March 2017, 第 87 卷: pp. 25-28
-
Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices
Tiffany Yu-Han Chen, Lenin Ravindranath Sivalingam, Shuo Deng, Victor Bahl, Hari Balakrishnan
SenSys'15, Seoul, South Korea | November 2015
ISBN: 978-1-4503-3631-4/15/11
The Design and Implementation of a Wireless Video Surveillance System
Tan Zhang, Aakanksha Chowdhery, Victor Bahl, Kyle Jamieson, Suman Banerjee
MobiCom '15 | September 2015
ISBN: 978-1-4503-3619-2/15/09
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
Cloud-Powered Sight for All: Showing the Cloud What You See
Paramvir Bahl, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing and Services (MCS) | June 2012
International Workshop on Mobile Cloud Computing and Services (MCS)
按研究领域分类的论文与出版物
-
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan , Neil Agarwal , Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 2023
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
USENIX NSDI | April 2023
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation
Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong
MobiCom '21 | October 2021
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
IEEE International Conference on Distributed Computing Systems (ICDCS) | December 2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
作者：Microsoft
arXiv:2012.10557
Spatula: Efficient cross-camera video analytics on large camera networks
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez
ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020
SEC 2020 Best Paper Award
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
Live Video Analytics with Microsoft Rocket for reducing edge compute costs
Ganesh Ananthanarayanan, Yuanchao Shu, Mustafa Kasap, Avi Kewalramani, Milan Gada, Victor Bahl
July 2020
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
Traffic Video Analytics – Case Study Report
Ganesh Ananthanarayanan, Victor Bahl, Yuanchao Shu, Franz Loewenherz, Daniel Lai, Darcy Akers, Peiwei Cao, Fan Xia, Jiangbo Zhang, Ashley Song
MSR-TR-1970-3 | December 2019
作者：Microsoft and City of Bellevue
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
Chameleon: Scalable Adaptation of Video Analytics
Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica
ACM Special Interest Group on Data Communication (SIGCOMM) | August 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
作者：Microsoft
arXiv:1801.03493
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan , Neil Agarwal , Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 2023
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
USENIX NSDI | April 2023
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
ACM/IEEE Symposium on Edge Computing | December 2021
Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation
Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong
MobiCom '21 | October 2021
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
IEEE International Conference on Distributed Computing Systems (ICDCS) | December 2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
作者：Microsoft
arXiv:2012.10557
Spatula: Efficient cross-camera video analytics on large camera networks
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez
ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020
SEC 2020 Best Paper Award
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
Live Video Analytics with Microsoft Rocket for reducing edge compute costs
Ganesh Ananthanarayanan, Yuanchao Shu, Mustafa Kasap, Avi Kewalramani, Milan Gada, Victor Bahl
July 2020
Spider: Next generation Live Video Analytics over Millimeter-Wave Networks
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
MSR-TR-2020-17 | May 2020
作者：Microsoft
The Emerging Landscape of Edge-Computing
Shadi Noghabi, Landon Cox, Sharad Agarwal, Ganesh Ananthanarayanan
ACM SIGMOBILE GetMobile | March 2020
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
Traffic Video Analytics – Case Study Report
Ganesh Ananthanarayanan, Victor Bahl, Yuanchao Shu, Franz Loewenherz, Daniel Lai, Darcy Akers, Peiwei Cao, Fan Xia, Jiangbo Zhang, Ashley Song
MSR-TR-1970-3 | December 2019
作者：Microsoft and City of Bellevue
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary
John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Live Video Analytics with FPGA-based Smart Cameras
Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Networked Cameras Are the New Big Data Clusters
Junchen Jiang, Yuhao Zhou, Ganesh Ananthanarayanan, Yuanchao Shu, Andrew A. Chien
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
ACM Computing Surveys | July 2019
Demo: Video Analytics – Killer App for Edge Computing
Ganesh Ananthanarayanan, Victor Bahl, Landon Cox, Alex Crown, Shadi Noghabi, Yuanchao Shu
ACM MobiSys | June 2019
MobiSys Best Demo Runner-up Award
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
ICML 2019 Workshop on Coding Theory For Large-scale Machine Learning | June 2019
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
Chameleon: Scalable Adaptation of Video Analytics
Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica
ACM Special Interest Group on Data Communication (SIGCOMM) | August 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
作者：Microsoft
arXiv:1801.03493
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
ParkMaster: An in–vehicle, edge–based video analytics service for detecting open parking spaces in urban environments
Giulio Grassi, Victor Bahl, Giovanni Pau, Kyle Jamieson
SEC '17 | August 2017
Panoptes: Servicing Multiple Applications Simultaneously using Steerable Cameras
Shubham Jain, Viet Nguyen, Marco Gruteser, Victor Bahl
The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks | April 2017
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
Video Analytics Towards Vision Zero
Franz Loewenherz, Victor Bahl, Yinhai Wang
ITE Journal | March 2017, 第 87 卷: pp. 25-28
Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices
Tiffany Yu-Han Chen, Lenin Ravindranath Sivalingam, Shuo Deng, Victor Bahl, Hari Balakrishnan
SenSys'15, Seoul, South Korea | November 2015
ISBN: 978-1-4503-3631-4/15/11
The Design and Implementation of a Wireless Video Surveillance System
Tan Zhang, Aakanksha Chowdhery, Victor Bahl, Kyle Jamieson, Suman Banerjee
MobiCom '15 | September 2015
ISBN: 978-1-4503-3619-2/15/09
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
Cloud-Powered Sight for All: Showing the Cloud What You See
Paramvir Bahl, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing and Services (MCS) | June 2012
International Workshop on Mobile Cloud Computing and Services (MCS)
-
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
-
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary
John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Live Video Analytics with FPGA-based Smart Cameras
Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
ICML 2019 Workshop on Coding Theory For Large-scale Machine Learning | June 2019
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
The Design and Implementation of a Wireless Video Surveillance System
Tan Zhang, Aakanksha Chowdhery, Victor Bahl, Kyle Jamieson, Suman Banerjee
MobiCom '15 | September 2015
ISBN: 978-1-4503-3619-2/15/09
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
按类型分类的论文与出版物
-
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan , Neil Agarwal , Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 2023
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
USENIX NSDI | April 2023
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
ACM/IEEE Symposium on Edge Computing | December 2021
Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation
Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong
MobiCom '21 | October 2021
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
IEEE International Conference on Distributed Computing Systems (ICDCS) | December 2020
Spatula: Efficient cross-camera video analytics on large camera networks
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez
ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020
SEC 2020 Best Paper Award
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa
29th USENIX Security Symposium | August 2020
CSAW 2020 Applied Research Competition Award (Runner-up)
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary
John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Live Video Analytics with FPGA-based Smart Cameras
Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Networked Cameras Are the New Big Data Clusters
Junchen Jiang, Yuhao Zhou, Ganesh Ananthanarayanan, Yuanchao Shu, Andrew A. Chien
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2019
Demo: Video Analytics – Killer App for Edge Computing
Ganesh Ananthanarayanan, Victor Bahl, Landon Cox, Alex Crown, Shadi Noghabi, Yuanchao Shu
ACM MobiSys | June 2019
MobiSys Best Demo Runner-up Award
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
ICML 2019 Workshop on Coding Theory For Large-scale Machine Learning | June 2019
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez
ACM HotMobile | February 2019
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
Chameleon: Scalable Adaptation of Video Analytics
Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica
ACM Special Interest Group on Data Communication (SIGCOMM) | August 2018
ParkMaster: An in–vehicle, edge–based video analytics service for detecting open parking spaces in urban environments
Giulio Grassi, Victor Bahl, Giovanni Pau, Kyle Jamieson
SEC '17 | August 2017
Panoptes: Servicing Multiple Applications Simultaneously using Steerable Cameras
Shubham Jain, Viet Nguyen, Marco Gruteser, Victor Bahl
The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks | April 2017
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices
Tiffany Yu-Han Chen, Lenin Ravindranath Sivalingam, Shuo Deng, Victor Bahl, Hari Balakrishnan
SenSys'15, Seoul, South Korea | November 2015
ISBN: 978-1-4503-3631-4/15/11
The Design and Implementation of a Wireless Video Surveillance System
Tan Zhang, Aakanksha Chowdhery, Victor Bahl, Kyle Jamieson, Suman Banerjee
MobiCom '15 | September 2015
ISBN: 978-1-4503-3619-2/15/09
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
Cloud-Powered Sight for All: Showing the Cloud What You See
Paramvir Bahl, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing and Services (MCS) | June 2012
International Workshop on Mobile Cloud Computing and Services (MCS)
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The Emerging Landscape of Edge-Computing
Shadi Noghabi, Landon Cox, Sharad Agarwal, Ganesh Ananthanarayanan
ACM SIGMOBILE GetMobile | March 2020
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
ACM Computing Surveys | July 2019
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
Video Analytics Towards Vision Zero
Franz Loewenherz, Victor Bahl, Yinhai Wang
ITE Journal | March 2017, 第 87 卷: pp. 25-28
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
作者：Microsoft
arXiv:2012.10557
Spider: Next generation Live Video Analytics over Millimeter-Wave Networks
Zhuqi Li, Yuanchao Shu, Ganesh Ananthanarayanan, Longfei Shangguan, Kyle Jamieson, Victor Bahl
MSR-TR-2020-17 | May 2020
作者：Microsoft
Traffic Video Analytics – Case Study Report
Ganesh Ananthanarayanan, Victor Bahl, Yuanchao Shu, Franz Loewenherz, Daniel Lai, Darcy Akers, Peiwei Cao, Fan Xia, Jiangbo Zhang, Ashley Song
MSR-TR-1970-3 | December 2019
作者：Microsoft and City of Bellevue
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
作者：Microsoft
arXiv:1801.03493
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Live Video Analytics with Microsoft Rocket for reducing edge compute costs
Ganesh Ananthanarayanan, Yuanchao Shu, Mustafa Kasap, Avi Kewalramani, Milan Gada, Victor Bahl
July 2020
Project Rocket platform—designed for easy, customizable live video analytics—is open source
Ganesh Ananthanarayanan, Yuanchao Shu, Landon Cox, Victor Bahl
January 2020