Video Scene Information Detection Based on Entity Recognition

Video situational information detection is widely used in the fields of video query, character anomaly detection, surveillance analysis, and so on. However, most of the existing researches pay much attention to the subject or video backgrounds, but little attention to the recognition of situational...

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Autores principales:	Hui Qian, Mengxuan Dai, Yong Ma, Jiale Zhao, Qinghua Liu, Tao Tao, Shugang Yin, Haipeng Li, Youcheng Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/e007fbf81c19463d9fb4a7f5b7e3e065
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id	oai:doaj.org-article:e007fbf81c19463d9fb4a7f5b7e3e065
record_format	dspace
spelling	oai:doaj.org-article:e007fbf81c19463d9fb4a7f5b7e3e0652021-11-08T02:36:39ZVideo Scene Information Detection Based on Entity Recognition1530-867710.1155/2021/1020044https://doaj.org/article/e007fbf81c19463d9fb4a7f5b7e3e0652021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1020044https://doaj.org/toc/1530-8677Video situational information detection is widely used in the fields of video query, character anomaly detection, surveillance analysis, and so on. However, most of the existing researches pay much attention to the subject or video backgrounds, but little attention to the recognition of situational information. What is more, because there is no strong relation between the pixel information and the scene information of video data, it is difficult for computers to obtain corresponding high-level scene information through the low-level pixel information of video data. Video scene information detection is mainly to detect and analyze the multiple features in the video and mark the scenes in the video. It is aimed at automatically extracting video scene information from all kinds of original video data and realizing the recognition of scene information through “comprehensive consideration of pixel information and spatiotemporal continuity.” In order to solve the problem of transforming pixel information into scene information, this paper proposes a video scene information detection method based on entity recognition. This model integrates the spatiotemporal relationship between the video subject and object on the basis of entity recognition, so as to realize the recognition of scene information by establishing mapping relation. The effectiveness and accuracy of the model are verified by simulation experiments with the TV series as experimental data. The accuracy of this model in the simulation experiment can reach more than 85%.Hui QianMengxuan DaiYong MaJiale ZhaoQinghua LiuTao TaoShugang YinHaipeng LiYoucheng ZhangHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Hui Qian Mengxuan Dai Yong Ma Jiale Zhao Qinghua Liu Tao Tao Shugang Yin Haipeng Li Youcheng Zhang Video Scene Information Detection Based on Entity Recognition
description	Video situational information detection is widely used in the fields of video query, character anomaly detection, surveillance analysis, and so on. However, most of the existing researches pay much attention to the subject or video backgrounds, but little attention to the recognition of situational information. What is more, because there is no strong relation between the pixel information and the scene information of video data, it is difficult for computers to obtain corresponding high-level scene information through the low-level pixel information of video data. Video scene information detection is mainly to detect and analyze the multiple features in the video and mark the scenes in the video. It is aimed at automatically extracting video scene information from all kinds of original video data and realizing the recognition of scene information through “comprehensive consideration of pixel information and spatiotemporal continuity.” In order to solve the problem of transforming pixel information into scene information, this paper proposes a video scene information detection method based on entity recognition. This model integrates the spatiotemporal relationship between the video subject and object on the basis of entity recognition, so as to realize the recognition of scene information by establishing mapping relation. The effectiveness and accuracy of the model are verified by simulation experiments with the TV series as experimental data. The accuracy of this model in the simulation experiment can reach more than 85%.
format	article
author	Hui Qian Mengxuan Dai Yong Ma Jiale Zhao Qinghua Liu Tao Tao Shugang Yin Haipeng Li Youcheng Zhang
author_facet	Hui Qian Mengxuan Dai Yong Ma Jiale Zhao Qinghua Liu Tao Tao Shugang Yin Haipeng Li Youcheng Zhang
author_sort	Hui Qian
title	Video Scene Information Detection Based on Entity Recognition
title_short	Video Scene Information Detection Based on Entity Recognition
title_full	Video Scene Information Detection Based on Entity Recognition
title_fullStr	Video Scene Information Detection Based on Entity Recognition
title_full_unstemmed	Video Scene Information Detection Based on Entity Recognition
title_sort	video scene information detection based on entity recognition
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/e007fbf81c19463d9fb4a7f5b7e3e065
work_keys_str_mv	AT huiqian videosceneinformationdetectionbasedonentityrecognition AT mengxuandai videosceneinformationdetectionbasedonentityrecognition AT yongma videosceneinformationdetectionbasedonentityrecognition AT jialezhao videosceneinformationdetectionbasedonentityrecognition AT qinghualiu videosceneinformationdetectionbasedonentityrecognition AT taotao videosceneinformationdetectionbasedonentityrecognition AT shugangyin videosceneinformationdetectionbasedonentityrecognition AT haipengli videosceneinformationdetectionbasedonentityrecognition AT youchengzhang videosceneinformationdetectionbasedonentityrecognition
_version_	1718443144634171392

Video Scene Information Detection Based on Entity Recognition

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