ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Scale

v1v2v3v4 (latest)

ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Scale

3 November 2018

Ganesh Ananthanarayanan

Joseph E. Gonzalez

ArXiv (abs)PDF HTML

Papers citing "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Scale"

9 / 9 papers shown

Title
Features for Multi-Target Multi-Camera Tracking and Re-Identification Ergys Ristani Carlo Tomasi VOT 85 519 0 28 Mar 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost Kevin Hsieh Ganesh Ananthanarayanan P. Bodík P. Bahl Matthai Philipose Phillip B. Gibbons O. Mutlu 72 275 0 10 Jan 2018
Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project Zhimeng Zhang Jianan Wu Xuan Zhang Chi Zhang 57 80 0 27 Dec 2017
Object Detection by Spatio-Temporal Analysis and Tracking of the Detected Objects in a Video with Variable Background K. Ray V. Asari Soma Chakraborty 118 38 0 28 Apr 2017
Clipper: A Low-Latency Online Prediction Serving System D. Crankshaw Xin Wang Giulio Zhou Michael Franklin Joseph E. Gonzalez Ion Stoica 64 676 0 09 Dec 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 195 3,697 0 31 Aug 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 153 7,495 0 24 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 261 8,854 0 01 Oct 2015
Network In Network Min Lin Qiang Chen Shuicheng Yan 294 6,283 0 16 Dec 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.