Paper Info
Title
Retransmission Edge Computing System Conducting Adaptive Image Compression Based on Image Recognition Accuracy
Abstract
This paper proposes a retransmission control system based on image recognition accuracy as a traffic reduction technique for improving network bandwidth usage efficiency in image recognition service using wireless edge computing. For traffic reduction, image compression is useful However, it is known to deteriorate the recognition accuracy. Our proposed system is applied to guarantee this deterioration. By retransmitting images according to the recognition accuracy, we aim to reduce traffic and to guarantee recognition accuracy. When compressing the image, PSNR is calculated to adaptively change the ratio of the image compression, to maintain the image quality. This paper uses down-sampler as an image compression method and demonstrates the effectiveness of the proposed system through a wireless network simulation. We confirm that our proposed retransmission system can reduce the network traffic congestion, and guarantee the recognition accuracy as same as the conventional method.
Year
DOI
Venue
2021
10.1109/VTC2021-FALL52928.2021.9625464
2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL)
Keywords
DocType
ISSN
Image recognition, Image compression, Retransmission network system, Wireless LAN
Conference
2577-2465
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Mutsuki Nakahara101.01
Daisuke Hisano201.69
Nishimura Mai301.01
Yoshitaka Ushiku410618.44
Kazuki Maruta501.35
Yu Nakayama600.68