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A Data Encryption and Fast Transmission Algorithm Based on Surveillance Video
Joint Authors
Meng, Xianjia
Qiu, Shi
Cui, Ying
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Video surveillance is an effective way to record current events.
In view of the difficulty of efficient transmission of massive surveillance video and the risk of leakage in the transmission process, a new data encryption and fast transmission algorithm is proposed in this paper.
From the perspective of events, the constraints of time and space dimension is broken.
First, a background and moving object extraction model is built based on video composition.
Then, a strong correlation data encryption and fast transmission model is constructed to achieve efficient data compression.
Finally, a data mapping mechanism is established to realize the decoding of surveillance video.
Our experimental results show that the compression ratio of the proposed algorithm is more than 60% under the premise of image confidentiality.
American Psychological Association (APA)
Qiu, Shi& Cui, Ying& Meng, Xianjia. 2020. A Data Encryption and Fast Transmission Algorithm Based on Surveillance Video. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1214692
Modern Language Association (MLA)
Qiu, Shi…[et al.]. A Data Encryption and Fast Transmission Algorithm Based on Surveillance Video. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1214692
American Medical Association (AMA)
Qiu, Shi& Cui, Ying& Meng, Xianjia. A Data Encryption and Fast Transmission Algorithm Based on Surveillance Video. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1214692
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214692