NDLI: An efficient data compression method for artificial vision systems and its low energy implementation using ASIP technology

Content Provider	IEEE Xplore Digital Library
Author	Sugiura, T. Nakatsuka, S. Jaehoon Yu Takeuchi, Y. Imai, M.
Copyright Year	2014
Description	Author affiliation: Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan (Sugiura, T.; Nakatsuka, S.; Jaehoon Yu; Takeuchi, Y.; Imai, M.)
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.
Starting Page	81
Ending Page	84
File Size	690696
Page Count	4
File Format	PDF
ISBN	9781479923465
DOI	10.1109/BioCAS.2014.6981650
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Energy consumption Machine vision Data compression Retina Encoding Registers
Content Type	Text
Resource Type	Article

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