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 72 276 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 263 8,854 0 01 Oct 2015
Network In Network Min Lin Qiang Chen Shuicheng Yan 294 6,283 0 16 Dec 2013