EdgeEye - An edge service framework for real-time intelligent video analytics

EdgeSys 2018 - Proceedings of the 1st ACM International Workshop on Edge Systems, Analytics and Networking, Part of MobiSys 2018

Volumn , Issue , 2018, Pages 1-6

  Liu, Peng ^a   Qi, Bozhao ^a   Banerjee, Suman ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Computer Vision; Deep Learning; Distributed System; Edge Computing

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); COMPUTATION THEORY; COMPUTER VISION; DEEP LEARNING; DIGITAL STORAGE; EDGE COMPUTING; LEARNING ALGORITHMS; MACHINE LEARNING; RELIABILITY ANALYSIS;

APPLICATION LOGIC; COMPUTING FRAMEWORKS; COMPUTING PARADIGM; DISTRIBUTED SYSTEMS; LEARNING FRAMEWORKS; OPEN SOURCE FRAMEWORKS; REAL-TIME VIDEO ANALYSIS; STORAGE RESOURCES;

DEEP NEURAL NETWORKS;

EID: 85061697429     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3213344.3213345     Document Type: Conference Paper

References (30)

1. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. TensorFlow: A System for Large-Scale Machine Learning.. In OSDI, Vol. 16. 265–283.
2. Amazon. 2018. The world’s first deep learning enabled video camera for developers. Retrieved March 29, 2018 from https://aws.amazon.com/deeplens/
3. Ganesh Ananthanarayanan, Paramvir Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath, and Sudipta Sinha. 2017. Real-Time Video Analytics: The Killer App for Edge Computing. Computer 50, 10 (2017), 58–67.
4. Adam Bergkvist, Daniel C Burnett, Cullen Jennings, Anant Narayanan, and Bernard Aboba. 2012. Webrtc 1.0: Real-time communication between browsers. Working draft, W3C 91 (2012).
5. Bocoup. 2018. Johnny-Five: The JavaScript Robotics and IoT Platform. Retrieved March 29, 2018 from http://johnny-five.io/
6. BVLC. 2018. Caffe: a fast open framework for deep learning. Retrieved March 29, 2018 from https://github.com/BVLC/caffe
7. Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, and Zheng Zhang. 2015. Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. arXiv preprint arXiv:1512.01274 (2015).
8. Ronan Collobert, Samy Bengio, and Johnny Mariéthoz. 2002. Torch: a modular machine learning software library. Technical Report. Idiap.
9. Luis López Fernández, Miguel París Díaz, Raúl Benítez Mejías, Francisco Javier López, and José Antonio Santos. 2013. Kurento: a media server technology for convergent WWW/mobile real-time multimedia communications supporting WebRTC. In World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a. IEEE, 1–6.
10. Google. 2017. Google Clips. Retrieved March 29, 2018 from https://store.google.com/us/product/google_clips?hl=en-US
11. GStreamer. 2018. GStreamer: open source multimedia framework. Retrieved March 26, 2018 from https://gstreamer.freedesktop.org/
12. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. In Proceedings of the IEEE international conference on computer vision. 1026–1034.
13. Intel. 2017. Intel’s Deep Learning Inference Engine Developer Guide. Retrieved March 26, 2018 from https://software.intel.com/en-us/inference-engine-devguide
14. Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. 2014. Caffe: Convolutional architecture for fast feature embedding. In Proceedings of the 22nd ACM international conference on Multimedia. ACM, 675–678.
15. Peng Liu, Dale Willis, and Suman Banerjee. 2016. Paradrop: Enabling lightweight multi-tenancy at the network’s extreme edge. In Edge Computing (SEC), IEEE/ACM Symposium on. IEEE, 1–13.
16. Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg. 2016. Ssd: Single shot multibox detector. In European conference on computer vision. Springer, 21–37.
17. Nvidia. 2016. DetectNet: Deep Neural Network for Object Detection in DIGITS. Retrieved March 28, 2018 from https://devblogs.nvidia.com/detectnet-deep-neural-network-object-detection-digits/
18. Nvidia. 2018. NVIDIA DeepStream SDK. Retrieved March 27, 2018 from https://developer.nvidia.com/deepstream-sdk
19. Nvidia. 2018. NVIDIA DIGITS, Interactive Deep Learning GPU Training System. Retrieved March 28, 2018 from https://developer.nvidia.com/digits
20. NVIDIA. 2018. NVIDIA TensorRT - Programmable Inference Accelerator. Retrieved March 26, 2018 from https://developer.nvidia.com/tensorrt
21. NVIDIA. 2018. TECHNICAL OVERVIEW: NVIDIA DEEP LEARNING PLATFORM. Retrieved March 29, 2018 from https://images.nvidia.com/content/pdf/inference-technical-overview.pdf
22. Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. 2016. You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition. 779–788.
23. resin.io. 2018. Resin.io homepage. Retrieved March 26, 2018 from https://resin.io/
24. Samsung. 2018. IoT.js - A framework for Internet of Things. Retrieved March 29, 2018 from http://iotjs.net/
25. Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014).
26. Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, et al. 2015. Going deeper with convolutions. Cvpr.
27. Shan Tang. 2018. A list of ICs and IPs for AI, Machine Learning and Deep Learning. Retrieved March 29, 2018 from https://basicmi.github.io/Deep-Learning-Processor-List/
28. Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodik, Matthai Philipose, Paramvir Bahl, and Michael J Freedman. 2017. Live Video Analytics at Scale with Approximation and Delay-Tolerance.. In NSDI, Vol. 9. 1.
29. Tan Zhang, Aakanksha Chowdhery, Paramvir Victor Bahl, Kyle Jamieson, and Suman Banerjee. 2015. The design and implementation of a wireless video surveillance system. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking. ACM, 426–438.
30. Jianxin Zhao, Richard Mortier, Jon Crowcroft, and Liang Wang. 2017. User-centric Composable Services: A New Generation of Personal Data Analytics. arXiv preprint arXiv:1710.09027 (2017).