Paper Info
Title
An efficient data compression method for artificial vision systems and its low energy implementation using ASIP technology
Abstract
This paper proposes an efficient data compression method for artificial vision systems based on visual cortex stimulation. These systems require wireless communication between inside and outside of human body, which consumes large amount of energy for data transmission. In order to reduce the energy consumption, efficient and less power consuming data compression method is required. The proposed method takes advantage of the appearance frequency of stimulation data pattern. Experimental results show that the proposed compression method achieves more than 81% of data compression rate, and energy reduction ratios by an application specific instruction-set processor implementation is 85% in compression and 36% in decompression compared to its base processor, respectively.
Year
DOI
Venue
2014
10.1109/BioCAS.2014.6981650
BioCAS
Keywords
Field
DocType
biomedical communication,computer vision,data compression,energy consumption,neurophysiology,ASIP technology,artificial vision systems,data pattern,data transmission,efficient data compression method,energy consumption,energy reduction ratios,human body,power consuming data compression method,specific instruction-set processor,visual cortex stimulation,wireless communication
Computer vision,Low energy,Computer science,Artificial intelligence,Computer hardware,Data compression,Artificial vision,Embedded system
Conference
ISSN
Citations 
PageRank 
2163-4025
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Sugiura, T.122.06
Nakatsuka, S.200.68
Jaehoon Yu32822.44
Yoshinori Takeuchi425048.18