Optimizing Synchronization of Tennis Professional League Live Broadcast Based on Wireless Network Planning

Author:

Tang Kai1ORCID,Huo Lian-Juan1

Affiliation:

1. School of Sports Science and Technology, Wuhan Sports University, Wuhan 430205, China

Abstract

The live broadcast of the common league mainly adopts the design of streaming media data block by block. The secondary processing of streaming data is carried out on the server-side. It results in a higher delay during a live broadcast. The higher delay has numerous disadvantages during broadcasting for delay-sensitive applications. We have to solve the delay problems during a live broadcast. Therefore, in this paper, we optimize the synchronization of the tennis professional league live broadcast based on wireless network planning. In the proposed scheme, the 3D detection target model is first constructed, and the background is extracted from the moving video image. The extraction is performed using the interframe difference elimination algorithm, and the target motion trajectory is predicted. Then the phase difference characteristics of the image foreground trajectory are analyzed by the Hilbert transform to detect target missing points. By observing the vertex structure of the target missing point, the phase Fourier transform frame is constructed. Finally, the synchronization of the league live broadcast is encoded and decoded. Based on the timestamp, the synchronization optimization of the tennis professional league live broadcast is completed. The experimental results show that the synchronization optimization method has good synchronization, high resolution, short reaction time, and good detection effect.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Analysis and Predictive Modeling of Tennis Match Data;Applied Mathematics and Nonlinear Sciences;2024-01-01

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3. Chinese Professional Basketball League Using Mobile Computing and Big Data Technology;Wireless Communications and Mobile Computing;2022-05-02

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