TY - JOUR
T1 - Low-Power Computer Vision: Status, Challenges, Opportunities
AU - Alyamkin, Sergei
AU - Ardi, Matthew
AU - Berg, Alexander C
AU - Brighton, Achille
AU - Chen, Bo
AU - Chen, Yiran
AU - Cheng, Hsin-Pai
AU - Fan, Zichen
AU - Fang, Chen
AU - Fu, Bo
AU - Gauen, Kent
AU - Goel, Abhinav
AU - Goncharenko, Alexander
AU - Guo, Xuyang
AU - Ha, Soonhoi
AU - Howard, Andrew
AU - Hu, Xiao
AU - Huang, Yuanjun
AU - Kang, Donghyun
AU - Kim, Jaeyoun
AU - Ko, Jong Gook
AU - Kondratyev, Alexander
AU - Lee, Junhyeok
AU - Lee, Seungjae
AU - Lee, Suwoong
AU - Li, Zichao
AU - Liang, Zhiyu
AU - Liu, Juzheng
AU - Liu, Xin
AU - Lu, Yang
AU - Lu, Yung-Hsiang
AU - Malik, Deeptanshu
AU - Nguyen, Hong Hanh
AU - Park, Eunbyung
AU - Repin, Denis
AU - Shen, Liang
AU - Sheng, Tao
AU - Sun, Fei
AU - Svitov, David
AU - Thiruvathukal, George K.
AU - Zhang, Baiwu
AU - Zhang, Jingchi
AU - Zhang, Xiaopeng
AU - Zhuo, Shaojie
N1 - Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong Gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, and Shaojie Zhuo, Low-Power Computer Vision: Status, Challenges, Opportunities, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, https://arxiv.org/abs/1904.07714
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries and energy efficiency is critical. This article serves two main purposes: (1) Examine the state-of-the-art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This article summarizes 2018 winners' solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision.
AB - Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries and energy efficiency is critical. This article serves two main purposes: (1) Examine the state-of-the-art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This article summarizes 2018 winners' solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision.
UR - https://ecommons.luc.edu/cs_facpubs/217
UR - https://arxiv.org/abs/1904.07714
M3 - Article
JO - Computer Science: Faculty Publications and Other Works
JF - Computer Science: Faculty Publications and Other Works
ER -