Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence

With the increasing development of multimedia teaching, the combination of virtual reality (VR) and video image control has very attractive development prospects in ideological and political teaching, for example, the use of virtual technology in games and so on. However, most virtual reality enviro...

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Autores principales:	Fengzhen Jia, Shiqiang Xu, Jiaofei Huo
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/7643a3c66ecf4d91bc796b38b724441b
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id	oai:doaj.org-article:7643a3c66ecf4d91bc796b38b724441b
record_format	dspace
spelling	oai:doaj.org-article:7643a3c66ecf4d91bc796b38b724441b2021-11-29T00:55:30ZEmbedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence1875-905X10.1155/2021/7839821https://doaj.org/article/7643a3c66ecf4d91bc796b38b724441b2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7839821https://doaj.org/toc/1875-905XWith the increasing development of multimedia teaching, the combination of virtual reality (VR) and video image control has very attractive development prospects in ideological and political teaching, for example, the use of virtual technology in games and so on. However, most virtual reality environments are currently built, and the functional development of artificial intelligence multimedia teaching systems is not comprehensive. An artificial intelligence VR video image control system is constructed for the multimedia teaching system. This article analyzes the development of artificial intelligence multimedia teaching systems and compares the detection performance and efficiency of traditional methods and artificial intelligence multimedia VR ideological and political teaching. Research shows that, in the use of VR to control the images of ideological and political teaching, the average accuracy of these ten video images is 75.68%. This shows that the video image classification and detection algorithm model based on artificial intelligence in this paper can extract deeper and more abstract features to classify the target. The artificial intelligence VR video image control algorithm constructed in this paper can reduce the maximum failure rate by 49.16%, 61.02%, and 66.94%, respectively. Compared with the traditional algorithm, the artificial intelligence VR video image control algorithm constructed in this paper can reduce the storage access delay time of 10 different video images by an average of 15.93%, can obtain about 9.37% performance optimization, and can reduce the video image control time by 7.28% and 10.63%, respectively. For pictures, the artificial intelligence VR video image control system in this article can increase the performance by up to 28.49%.Fengzhen JiaShiqiang XuJiaofei HuoHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Fengzhen Jia Shiqiang Xu Jiaofei Huo Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence
description	With the increasing development of multimedia teaching, the combination of virtual reality (VR) and video image control has very attractive development prospects in ideological and political teaching, for example, the use of virtual technology in games and so on. However, most virtual reality environments are currently built, and the functional development of artificial intelligence multimedia teaching systems is not comprehensive. An artificial intelligence VR video image control system is constructed for the multimedia teaching system. This article analyzes the development of artificial intelligence multimedia teaching systems and compares the detection performance and efficiency of traditional methods and artificial intelligence multimedia VR ideological and political teaching. Research shows that, in the use of VR to control the images of ideological and political teaching, the average accuracy of these ten video images is 75.68%. This shows that the video image classification and detection algorithm model based on artificial intelligence in this paper can extract deeper and more abstract features to classify the target. The artificial intelligence VR video image control algorithm constructed in this paper can reduce the maximum failure rate by 49.16%, 61.02%, and 66.94%, respectively. Compared with the traditional algorithm, the artificial intelligence VR video image control algorithm constructed in this paper can reduce the storage access delay time of 10 different video images by an average of 15.93%, can obtain about 9.37% performance optimization, and can reduce the video image control time by 7.28% and 10.63%, respectively. For pictures, the artificial intelligence VR video image control system in this article can increase the performance by up to 28.49%.
format	article
author	Fengzhen Jia Shiqiang Xu Jiaofei Huo
author_facet	Fengzhen Jia Shiqiang Xu Jiaofei Huo
author_sort	Fengzhen Jia
title	Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence
title_short	Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence
title_full	Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence
title_fullStr	Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence
title_full_unstemmed	Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence
title_sort	embedded vr video image control system in the ideological and political teaching system based on artificial intelligence
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/7643a3c66ecf4d91bc796b38b724441b
work_keys_str_mv	AT fengzhenjia embeddedvrvideoimagecontrolsystemintheideologicalandpoliticalteachingsystembasedonartificialintelligence AT shiqiangxu embeddedvrvideoimagecontrolsystemintheideologicalandpoliticalteachingsystembasedonartificialintelligence AT jiaofeihuo embeddedvrvideoimagecontrolsystemintheideologicalandpoliticalteachingsystembasedonartificialintelligence
_version_	1718407776411058176

Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence

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