demonstration

A query engine for zero-streaming cameras

Authors:

Felix Xiaozhu LinAuthors Info & Claims

MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

Article No.: 67, Pages 1 - 3

https://doi.org/10.1145/3372224.3417317

Published: 18 September 2020 Publication History

Abstract

Low-cost wireless cameras are growing rapidly. With the help of advanced machine learning models (e.g., CNNs), those videos exhibit high business and social values, e.g., for retailing planning [18], wildlife study [21], and traffic monitoring [19, 25]. However, with high compute need, traditional video analytics systems [14, 15, 26, 27] require all videos to be uploaded to a backend server, which stresses the scarce network bandwidth between cameras and servers.

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Digital Library

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Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodik, Shivaram Venkataraman, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, and Onur Mutlu. Focus: Querying large video datasets with low latency and low cost. In <u>13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)</u>, Carlsbad, CA, 2018. USENIX Association.

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Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, and Matei Zaharia. Noscope: Optimizing neural network queries over video at scale. <u>Proc. VLDB Endow.</u>, 10(11):1586--1597, August 2017.

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Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick. Microsoft COCO: common objects in context. In David J. Fleet, Tomás Pajdla, Bernt Schiele, and Tinne Tuytelaars, editors, <u>Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6--12, 2014, Proceedings, Part V</u>, volume 8693 of <u>Lecture Notes in Computer Science</u>, pages 740--755. Springer, 2014.

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Alan J Lipton, Peter L Venetianer, Niels Haering, Paul C Brewer, Weihong Yin, Zhong Zhang, Li Yu, Yongtong Hu, Gary W Myers, Andrew J Chosak, et al. Video analytics for retail business process monitoring, 2015. US Patent 9,158,975.

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Xu Liu, Zilei Wang, Jiashi Feng, and Hongsheng Xi. Highway vehicle counting in compressed domain. In <u>Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition</u>, pages 3016--3024, 2016.

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Mohammad Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Alexandra Swanson, Meredith S Palmer, Craig Packer, and Jeff Clune. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. <u>Proceedings of the National Academy of Sciences</u>, 115(25):E5716--E5725, 2018.

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Ziv Paz. Innovation in surveillance: What's changing at the edge, core and cloud? https://blog.westerndigital.com/innovation-surveillance-edge-core-cloud/, year = 2018.

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[25]

Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, and Felix Xiaozhu Lin. Approximate query service on autonomous iot cameras. In <u>Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services</u>, pages 191--205, 2020.

[26]

Tiantu Xu, Luis Materon Botelho, and Felix Xiaozhu Lin. Vstore: A data store for analytics on large videos. In <u>Proceedings of the Fourteenth EuroSys Conference 2019</u>, EuroSys '19, pages 16:1--16:17, New York, NY, USA, 2019. ACM.

Digital Library

[27]

Tan Zhang, Aakanksha Chowdhery, Paramvir (Victor) Bahl, Kyle Jamieson, and Suman Banerjee. The design and implementation of a wireless video surveillance system. In <u>Proceedings of the 21st Annual International Conference on Mobile Computing and Networking</u>, MobiCom '15, pages 426--438, New York, NY, USA, 2015. ACM.

Digital Library

Cited By

Yang CLi YLu HYuan JSun QWang SXu M(2023)Evaluating and Enhancing the Robustness of Federated Learning System against Realistic Data Corruption2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)10.1109/ISSRE59848.2023.00050(462-473)Online publication date: 9-Oct-2023
https://doi.org/10.1109/ISSRE59848.2023.00050
Zhou TWu FGao L(2022)Profiling-free Configuration Adaptation and Latency-Aware Resource Scheduling for Video Analytics2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020573(1202-1211)Online publication date: 17-Dec-2022
https://doi.org/10.1109/BigData55660.2022.10020573

Index Terms

A query engine for zero-streaming cameras
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics

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cover image ACM Conferences

MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

April 2020

621 pages

ISBN:9781450370851

DOI:10.1145/3372224

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 18 September 2020

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MobiCom '20

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SIGMOBILE

MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking

September 21 - 25, 2020

London, United Kingdom

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Cited By

Yang CLi YLu HYuan JSun QWang SXu M(2023)Evaluating and Enhancing the Robustness of Federated Learning System against Realistic Data Corruption2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)10.1109/ISSRE59848.2023.00050(462-473)Online publication date: 9-Oct-2023
https://doi.org/10.1109/ISSRE59848.2023.00050
Zhou TWu FGao L(2022)Profiling-free Configuration Adaptation and Latency-Aware Resource Scheduling for Video Analytics2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020573(1202-1211)Online publication date: 17-Dec-2022
https://doi.org/10.1109/BigData55660.2022.10020573

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