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

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

10 January 2018
Kevin Hsieh
Ganesh Ananthanarayanan
P. Bodík
P. Bahl
Matthai Philipose
Phillip B. Gibbons
O. Mutlu
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Papers citing "Focus: Querying Large Video Datasets with Low Latency and Low Cost"

25 / 75 papers shown
Title
BumbleBee: Application-aware adaptation for container orchestration
BumbleBee: Application-aware adaptation for container orchestration
Hyunju Lee
Shadi Noghabi
Brian Noble
Matthew Furlong
Landon P. Cox
14
0
0
27 Aug 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device
  and Cloud
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Stefanos Laskaridis
Stylianos I. Venieris
Mario Almeida
Ilias Leontiadis
Nicholas D. Lane
28
265
0
14 Aug 2020
HAPI: Hardware-Aware Progressive Inference
HAPI: Hardware-Aware Progressive Inference
Stefanos Laskaridis
Stylianos I. Venieris
Hyeji Kim
Nicholas D. Lane
22
45
0
10 Aug 2020
Jointly Optimizing Preprocessing and Inference for DNN-based Visual
  Analytics
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics
Daniel Kang
A. Mathur
Teja Veeramacheneni
Peter Bailis
Matei A. Zaharia
8
42
0
25 Jul 2020
VidCEP: Complex Event Processing Framework to Detect Spatiotemporal
  Patterns in Video Streams
VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams
Piyush Yadav
E. Curry
9
33
0
15 Jul 2020
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Rishabh Poddar
Ganesh Ananthanarayanan
Srinath T. V. Setty
Stavros Volos
Raluca A. Popa
17
64
0
17 Jun 2020
Serving DNNs like Clockwork: Performance Predictability from the Bottom
  Up
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up
A. Gujarati
Reza Karimi
Safya Alzayat
Wei Hao
Antoine Kaufmann
Ymir Vigfusson
Jonathan Mace
37
271
0
03 Jun 2020
Model Assertions for Monitoring and Improving ML Models
Model Assertions for Monitoring and Improving ML Models
Daniel Kang
Deepti Raghavan
Peter Bailis
Matei A. Zaharia
6
58
0
03 Mar 2020
Evaluating Temporal Queries Over Video Feeds
Evaluating Temporal Queries Over Video Feeds
Yueting Chen
Xiaohui Yu
Nick Koudas
28
18
0
02 Mar 2020
Video Monitoring Queries
Video Monitoring Queries
Nick Koudas
Raymond Li
Ioannis Xarchakos
16
34
0
24 Feb 2020
CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge
CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge
H. Pasandi
T. Nadeem
19
28
0
05 Feb 2020
SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge
  Deep Learning
SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning
Shibo Wang
Shusen Yang
Cong Zhao
18
59
0
04 Jan 2020
I-SAFE: Instant Suspicious Activity identiFication at the Edge using
  Fuzzy Decision Making
I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making
S. Nikouei
Yu Chen
Alexander J. Aved
Erik P. Blasch
Timothy R. Faughnan
9
20
0
12 Sep 2019
ApproxNet: Content and Contention-Aware Video Analytics System for
  Embedded Clients
ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients
Xukan Ran
Rakesh Kumar
Pengcheng Wang
Peter Bai
Ganga Meghanath
Somali Chaterji
Subrata Mitra
Saurabh Bagchi
19
18
0
28 Aug 2019
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous
  Mobile Processors
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
Royson Lee
Stylianos I. Venieris
L. Dudziak
S. Bhattacharya
Nicholas D. Lane
SupR
19
95
0
21 Aug 2019
Machine Learning at the Network Edge: A Survey
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
38
378
0
31 Jul 2019
A Workload and Programming Ease Driven Perspective of
  Processing-in-Memory
A Workload and Programming Ease Driven Perspective of Processing-in-Memory
Saugata Ghose
Amirali Boroumand
Jeremie S. Kim
Juan Gómez Luna
O. Mutlu
36
10
0
26 Jul 2019
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning
  Inference
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference
Peter Kraft
Daniel Kang
Deepak Narayanan
Shoumik Palkar
Peter Bailis
Matei A. Zaharia
16
13
0
03 Jun 2019
INFaaS: A Model-less and Managed Inference Serving System
INFaaS: A Model-less and Managed Inference Serving System
Francisco Romero
Qian Li
N. Yadwadkar
Christos Kozyrakis
34
14
0
30 May 2019
Scaling Video Analytics on Constrained Edge Nodes
Scaling Video Analytics on Constrained Edge Nodes
Christopher Canel
Thomas Kim
Giulio Zhou
Conglong Li
Hyeontaek Lim
D. Andersen
M. Kaminsky
Subramanya R. Dulloor
11
162
0
24 May 2019
Video Analytics with Zero-streaming Cameras
Video Analytics with Zero-streaming Cameras
Mengwei Xu
Tiantu Xu
Yunxin Liu
F. Lin
16
25
0
28 Apr 2019
EDF: Ensemble, Distill, and Fuse for Easy Video Labeling
EDF: Ensemble, Distill, and Fuse for Easy Video Labeling
Giulio Zhou
Subramanya R. Dulloor
D. Andersen
M. Kaminsky
ObjD
19
8
0
10 Dec 2018
ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Scale
ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Scale
Samvit Jain
Xun Zhang
Yuhao Zhou
Ganesh Ananthanarayanan
Junchen Jiang
Yuanchao Shu
Joseph E. Gonzalez
HAI
29
9
0
03 Nov 2018
Scaling Video Analytics Systems to Large Camera Deployments
Scaling Video Analytics Systems to Large Camera Deployments
Samvit Jain
Ganesh Ananthanarayanan
Junchen Jiang
Yuanchao Shu
Joseph E. Gonzalez
24
72
0
07 Sep 2018
Physical Representation-based Predicate Optimization for a Visual
  Analytics Database
Physical Representation-based Predicate Optimization for a Visual Analytics Database
Michael R. Anderson
Michael Cafarella
G. Ros
T. Wenisch
41
57
0
11 Jun 2018
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