Content-Oriented Surveillance System Based on ICN in Disaster Scenarios

Koki Okamoto, Toru Mochida, Daichi Nozaki, Zheng Wen, Xin Qi, Takuro Sato

研究成果: Conference contribution

抄録

This paper deals with an efficient image object detection method for use in a disaster prevention network that uses information-centric networking (ICN). In ICN for disaster prevention, a large number of surveillance cameras are arranged, and disaster image contents corresponding to the user's requests are distributed directly from the node attached to the surveillance camera. At this time, the name of the content requested by the user does not necessarily match the name of the image acquired by the surveillance camera. In this paper, the content requested by the user is processed and named using natural language processing (NLP). In addition, the image content from the surveillance camera is named using artificial intelligence technology. In this way, a method for improving the hit ratio between users and cameras was established. Furthermore, the volume of the interest packets decreases based on the information which area often occurs disaster. As a result, the network efficiency of ICN can be improved.

元の言語English
ホスト出版物のタイトル2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
出版者IEEE Computer Society
ページ484-489
ページ数6
ISBN(電子版)9781538657577
DOI
出版物ステータスPublished - 2019 5 10
イベント21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018 - Chiang Rai, Thailand
継続期間: 2018 11 252018 11 28

出版物シリーズ

名前International Symposium on Wireless Personal Multimedia Communications, WPMC
2018-November
ISSN(印刷物)1347-6890

Conference

Conference21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
Thailand
Chiang Rai
期間18/11/2518/11/28

Fingerprint

Disasters
Cameras
Disaster prevention
Information use
Artificial intelligence
Processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

これを引用

Okamoto, K., Mochida, T., Nozaki, D., Wen, Z., Qi, X., & Sato, T. (2019). Content-Oriented Surveillance System Based on ICN in Disaster Scenarios. : 2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018 (pp. 484-489). [8712852] (International Symposium on Wireless Personal Multimedia Communications, WPMC; 巻数 2018-November). IEEE Computer Society. https://doi.org/10.1109/WPMC.2018.8712852

Content-Oriented Surveillance System Based on ICN in Disaster Scenarios. / Okamoto, Koki; Mochida, Toru; Nozaki, Daichi; Wen, Zheng; Qi, Xin; Sato, Takuro.

2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018. IEEE Computer Society, 2019. p. 484-489 8712852 (International Symposium on Wireless Personal Multimedia Communications, WPMC; 巻 2018-November).

研究成果: Conference contribution

Okamoto, K, Mochida, T, Nozaki, D, Wen, Z, Qi, X & Sato, T 2019, Content-Oriented Surveillance System Based on ICN in Disaster Scenarios. : 2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018., 8712852, International Symposium on Wireless Personal Multimedia Communications, WPMC, 巻. 2018-November, IEEE Computer Society, pp. 484-489, 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018, Chiang Rai, Thailand, 18/11/25. https://doi.org/10.1109/WPMC.2018.8712852
Okamoto K, Mochida T, Nozaki D, Wen Z, Qi X, Sato T. Content-Oriented Surveillance System Based on ICN in Disaster Scenarios. : 2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018. IEEE Computer Society. 2019. p. 484-489. 8712852. (International Symposium on Wireless Personal Multimedia Communications, WPMC). https://doi.org/10.1109/WPMC.2018.8712852
Okamoto, Koki ; Mochida, Toru ; Nozaki, Daichi ; Wen, Zheng ; Qi, Xin ; Sato, Takuro. / Content-Oriented Surveillance System Based on ICN in Disaster Scenarios. 2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018. IEEE Computer Society, 2019. pp. 484-489 (International Symposium on Wireless Personal Multimedia Communications, WPMC).
@inproceedings{ae268873ce0a4478a15a4f2bd6a9d3a7,
title = "Content-Oriented Surveillance System Based on ICN in Disaster Scenarios",
abstract = "This paper deals with an efficient image object detection method for use in a disaster prevention network that uses information-centric networking (ICN). In ICN for disaster prevention, a large number of surveillance cameras are arranged, and disaster image contents corresponding to the user's requests are distributed directly from the node attached to the surveillance camera. At this time, the name of the content requested by the user does not necessarily match the name of the image acquired by the surveillance camera. In this paper, the content requested by the user is processed and named using natural language processing (NLP). In addition, the image content from the surveillance camera is named using artificial intelligence technology. In this way, a method for improving the hit ratio between users and cameras was established. Furthermore, the volume of the interest packets decreases based on the information which area often occurs disaster. As a result, the network efficiency of ICN can be improved.",
keywords = "Artificial Intelligence (AI), Image Recognition, Information Centric Network (ICN), Internet of Things (IoT), Named Data Networking (NDN), Natural Language processing (NLP)",
author = "Koki Okamoto and Toru Mochida and Daichi Nozaki and Zheng Wen and Xin Qi and Takuro Sato",
year = "2019",
month = "5",
day = "10",
doi = "10.1109/WPMC.2018.8712852",
language = "English",
series = "International Symposium on Wireless Personal Multimedia Communications, WPMC",
publisher = "IEEE Computer Society",
pages = "484--489",
booktitle = "2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018",

}

TY - GEN

T1 - Content-Oriented Surveillance System Based on ICN in Disaster Scenarios

AU - Okamoto, Koki

AU - Mochida, Toru

AU - Nozaki, Daichi

AU - Wen, Zheng

AU - Qi, Xin

AU - Sato, Takuro

PY - 2019/5/10

Y1 - 2019/5/10

N2 - This paper deals with an efficient image object detection method for use in a disaster prevention network that uses information-centric networking (ICN). In ICN for disaster prevention, a large number of surveillance cameras are arranged, and disaster image contents corresponding to the user's requests are distributed directly from the node attached to the surveillance camera. At this time, the name of the content requested by the user does not necessarily match the name of the image acquired by the surveillance camera. In this paper, the content requested by the user is processed and named using natural language processing (NLP). In addition, the image content from the surveillance camera is named using artificial intelligence technology. In this way, a method for improving the hit ratio between users and cameras was established. Furthermore, the volume of the interest packets decreases based on the information which area often occurs disaster. As a result, the network efficiency of ICN can be improved.

AB - This paper deals with an efficient image object detection method for use in a disaster prevention network that uses information-centric networking (ICN). In ICN for disaster prevention, a large number of surveillance cameras are arranged, and disaster image contents corresponding to the user's requests are distributed directly from the node attached to the surveillance camera. At this time, the name of the content requested by the user does not necessarily match the name of the image acquired by the surveillance camera. In this paper, the content requested by the user is processed and named using natural language processing (NLP). In addition, the image content from the surveillance camera is named using artificial intelligence technology. In this way, a method for improving the hit ratio between users and cameras was established. Furthermore, the volume of the interest packets decreases based on the information which area often occurs disaster. As a result, the network efficiency of ICN can be improved.

KW - Artificial Intelligence (AI)

KW - Image Recognition

KW - Information Centric Network (ICN)

KW - Internet of Things (IoT)

KW - Named Data Networking (NDN)

KW - Natural Language processing (NLP)

UR - http://www.scopus.com/inward/record.url?scp=85066296393&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85066296393&partnerID=8YFLogxK

U2 - 10.1109/WPMC.2018.8712852

DO - 10.1109/WPMC.2018.8712852

M3 - Conference contribution

AN - SCOPUS:85066296393

T3 - International Symposium on Wireless Personal Multimedia Communications, WPMC

SP - 484

EP - 489

BT - 2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018

PB - IEEE Computer Society

ER -