Retransmission Edge Computing System Conducting Adaptive Image Compression Based on Image Recognition Accuracy
Retransmission Edge Computing System Conducting Adaptive Image Compression Based on Image Recognition Accuracy
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DOI：
10.1109/vtc2021-fall52928.2021.9625464
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发表时间：
2021-09
期刊：
影响因子：
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通讯作者：
Mutsuki Nakahara;D. Hisano;Mai Nishimura;Y. Ushiku;K. Maruta;Yu Nakayama
中科院分区：
文献类型：
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作者：
Mutsuki Nakahara;D. Hisano;Mai Nishimura;Y. Ushiku;K. Maruta;Yu Nakayama
本文提出了一种基于图像识别精度的重传控制系统，作为一种流量减少技术，用于提高使用无线边缘计算的图像识别服务中的网络带宽使用效率。为了减少流量，图像压缩是有用的。然而，已知会使识别精度恶化。我们提出的系统是用来保证这种恶化。通过根据识别精度重新传输图像，我们的目标是减少流量并保证识别精度。在压缩图像时，通过计算峰值信噪比来自适应地改变图像压缩比，以保持图像质量。本文使用下采样器作为图像压缩方法，并通过无线网络仿真证明了所提出的系统的有效性。我们证实我们提出的重传系统可以减少网络流量拥塞，并保证识别精度与传统方法相同。
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.