Education, Science, Technology, Innovation and Life
Open Access
Sign In

A Streaming Media Recompression Transmission Scheme for Agricultural Machinery Monitoring

Download as PDF

DOI: 10.23977/jemm.2022.070109 | Downloads: 19 | Views: 942


Shengken Lin 1, Honggang Wu 2, Tianshun Zhang 3, Jiajie Fei 1, Shaokun Lu 4


1 Yunnan Agricultural University, Postgraduate Group, Institute of Big Data, Panlong, Kunming, Yunan, China
2 Yunnan University of Finance and Economics, Associate Professor, Further Education College, Panlong, Kunming, Yunan, China
3 Yunnan Agricultural University, Associate Professor, Social Service Center, Panlong, Kunming, Yunan, China
4 Yunnan Agricultural University, Associate Professor, Big Data College, Panlong, Kunming, Yunan, China

Corresponding Author

Shaokun Lu


Place a camera on the agricultural machinery, the video collected by the camera is transmitted by means of a wireless network to enable the operator to monitor the operation of the machinery and provide decisions accordingly when necessary. As video data contains large capacity, and the farmlands are distributed widely and remotely, it is difficult to ensure the stability of the transmission network. In this research, a binary recompression method was proposed to perform a secondary compression on the video sequence compressed by the encoder, which solved the problem of video transmission in dynamic network by reducing the number of bytes of data on the communication channel. The core idea is to change the distribution of the original sequence of "0" and "1" symbols in binary by designing mapping rules and compression rules through the idea of binary rearrangement, so that the same symbols can be gathered together as much as possible, thereby increasing the probability of compression. In the end, a test system was set up to verify that the recompressed transmission scheme proposed in this paper was able to effectively improve the quality of video transmission in farmlands.


Video Compression, Network Transmission, Agricultural Machinery Monitoring


Shengken Lin, Honggang Wu, Tianshun Zhang, Jiajie Fei, Shaokun Lu, A Streaming Media Recompression Transmission Scheme for Agricultural Machinery Monitoring. Journal of Engineering Mechanics and Machinery (2022) Vol. 7: 75-82. DOI:


[1] Chen, J., Wei, Z., Li, S., & Cao, B. (2020). Artificial intelligence aided joint bit rate selection and radio resource allocation for adaptive video streaming over F-RANs. IEEE Wireless Communications,27(2), 36-43.
[2] Subbarayappa, S., & Rao, K. R. (2021, February). Video quality evaluation and testing verification of H.264, HEVC, VVC and EVC video compression standards. In IOP Conference Series: Materials Science and Engineering (Vol. 1045, No. 1, p. 012028). IOP Publishing.
[3] Wu, C. Y., Singhal, N., & Krahenbuhl, P. (2018). Video compression through image interpolation. In Proceedings of the European conference on computer vision (ECCV) (pp. 416-431).
[4] Marpe, D., Wiegand, T., & Sullivan, G. J. (2006). The H.264/MPEG4 advanced video coding standard and its applications.IEEE communications magazine, 44(8), 134-143.
[5] Berdondini, A. (2020). A Simple Symmetry Present in Every Sequence Having Maximum Entropy Can Help Us to Overcome the Limit Defined by Shannon’s First Theorem. Available at SSRN 3710546.
[6] Kim, S., Lee, S., Hong, M., & Jeong, J. (2020). Run-Length Coding for deep-learning activation data compression. In Proceedings of the Korean Society of Broadcast Engineers Conference (pp. 98-99). The Korean Institute of Broadcast and Media Engineers.
[7] Xu, C., Ren, W., Yu, L., Zhu, T., & Choo, K. K. R. (2020). A Hierarchical encryption and key management scheme for layered access control on H.264/SVC bitstream in the internet of things. IEEE Internet of Things Journal,7(9), 8932-8942.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.