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Intelligent Garbage Classification System Based on Open MV Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Research on Real-Time Compression and Transmission Method of Motion Video Data Under Internet of Things

Authors : Liang Hua, Jiayu Wang, Xiao Hu

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

In order to improve the real-time transmission ability of motion video data, it is necessary to compress video data. A real-time compression method for motion video data based on wavelet analysis and vector quantization is proposed. The two-dimensional wavelet transform is used to decompose the motion video and transform the time and frequency domain, and the quantization error is used to compensate for the video data. According to the method, the motion video data under the Internet of things are processed by LBG vector quantization, and the method of error compensation coding is used to smooth the noise of the motion video data under the Internet of things. The motion video of the N codebook is coded and combined with the multi-layer wavelet scale decomposition method, the real-time compression of the motion video data under the Internet of things is realized. Simulation results show that the proposed method can achieve better real-time compression and transmission of motion video data, and lower output error rate.

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Literature
1.
Shuai, R., Zhang Tao, X., Zhenchao, W.Z., Yuan, H., Yunong, L.: Information hiding algorithm for 3D models based on feature point labeling and clustering. Journal of Computer Applications. 38(4), 1017–1022 (2018). (in Chinese)
2.
Wen, X., Ling, Z., Yunhua, C., Qiumin, J.: Single Image super resolution combining with structural self-similarity and convolution networks. Journal of Computer Applications. 38(3), 854–858 (2018). (in Chinese)
3.
Weisheng, D., Lei, Z., Guangming, S.: Nonlocally centralized sparse representation for image restoration. IEEE Trans. Image Process. 22(4), 1620–1630 (2013)MathSciNetCrossRef
4.
Tomer, P., Michael, E.: A statistical prediction model based on sparse representations for single image super-resolution. IEEE Trans. Image Process. Publ. IEEE Signal Process. Soc. 23(6), 2569–2582 (2018)MathSciNetMATH
5.
6.
Ke, Q., Dafang, Z., Dongqing, X.: Steganography for 3D model based on frame transform and HMM model in wavelet domain. J. Comput. Aided Des. Comput. Graph. 22(8), 1406–1411 (2010). (in Chinese)
7.
Shungang, H., Qing, Z., Shaoshuai, L.: 3D shape deformation based on edge collapse mesh simplification. J. Dalian Univ. Technol. 51(3), 363–367 (2011). (in Chinese)
8.
Mingai, L., Yan, C., Jinfu, Y., Dongmei, H.: An adaptive multi-domain fusion feature extraction with method HHT and CSSD. Acta Electronica Sinica 41(12), 2479–2486 (2013). (in Chinese)
9.
Florian, G., Georgios, N., Gharabaghi, A.: Closed-loop task difficulty adaptation during virtual reality reach-to-grasp training assisted with an exoskeleton for stroke rehabilitation. Front. Neurosci. 10, 518 (2016)
10.
Masahiko, M., Takashi, O., Keiichiro, S., Toshiyuki, F., Tetsuo, O., Akio, K., Meigen, L., Junichi, U.: Efficacy of brain-computer interface-driven neuromuscular electrical stimulation for chronic paresis after stroke. J. Rehabil. Med. 46(4), 378–382 (2014)CrossRef
Metadata
Title
Research on Real-Time Compression and Transmission Method of Motion Video Data Under Internet of Things
Authors
Liang Hua
Jiayu Wang
Xiao Hu
Copyright Year
2021
Publisher
Springer Singapore
Book
Big Data Analytics for Cyber-Physical System in Smart City

Print ISBN: 978-981-334-573-7

Electronic ISBN: 978-981-334-572-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4572-0_3

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