Guest Editorial: Special Issue on Embedded Computer Vision

Guest Editorial: Special Issue on Embedded Computer Vision Journal of Signal Processing Systems (2018) 90:873–876 https://doi.org/10.1007/s11265-018-1365-8 1 2 3 4 5 6 Stefano Mattoccia & Branislav Kisačanin & Margrit Gelautz & Sek Chai & Ahmed Nabil Belbachir & Goksel Dedeoglu & Fridtjof Stein Published online: 26 April 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 It is with great pleasure that we present this Special Issue of In the following we summarize their contributions: the Journal of Signal Processing Systems (JSPS) dedicated to Embedded Computer Vision! We are pleased to include six & In their paper “Efficient Object Detection Using state-of-the-art papers from the leaders in this field, both from Embedded Binarized Neural Networks, (https://doi.org/ industry and academia, who keep pushing the embedded com- 10.1007/s11265-017-1255-5)” the authors Jaeha Kung puter vision technology forward. (Georgia Tech), David Zhang (SRI international), While the idea for this special issue originated be- Gooitzen van der Wal (SRI international), Sek Chai (SRI tween the Guest Editors at one of the CVPR workshops international), and Saibal Mukhopadhyay (Georgia Tech) on the same topic that we have organized, it is the work discuss their research on energy efficient deep learning of the contributing authors that makes it a success. The accelerators and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Signal Processing Systems Springer Journals
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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Engineering; Signal,Image and Speech Processing; Circuits and Systems; Electrical Engineering; Image Processing and Computer Vision; Pattern Recognition; Computer Imaging, Vision, Pattern Recognition and Graphics
ISSN
1939-8018
eISSN
1939-8115
D.O.I.
10.1007/s11265-018-1365-8
Publisher site
See Article on Publisher Site

Abstract

Journal of Signal Processing Systems (2018) 90:873–876 https://doi.org/10.1007/s11265-018-1365-8 1 2 3 4 5 6 Stefano Mattoccia & Branislav Kisačanin & Margrit Gelautz & Sek Chai & Ahmed Nabil Belbachir & Goksel Dedeoglu & Fridtjof Stein Published online: 26 April 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 It is with great pleasure that we present this Special Issue of In the following we summarize their contributions: the Journal of Signal Processing Systems (JSPS) dedicated to Embedded Computer Vision! We are pleased to include six & In their paper “Efficient Object Detection Using state-of-the-art papers from the leaders in this field, both from Embedded Binarized Neural Networks, (https://doi.org/ industry and academia, who keep pushing the embedded com- 10.1007/s11265-017-1255-5)” the authors Jaeha Kung puter vision technology forward. (Georgia Tech), David Zhang (SRI international), While the idea for this special issue originated be- Gooitzen van der Wal (SRI international), Sek Chai (SRI tween the Guest Editors at one of the CVPR workshops international), and Saibal Mukhopadhyay (Georgia Tech) on the same topic that we have organized, it is the work discuss their research on energy efficient deep learning of the contributing authors that makes it a success. The accelerators and

Journal

Journal of Signal Processing SystemsSpringer Journals

Published: Apr 26, 2018

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