Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

A Novel Video Encryption Method Based on Faster R-CNN

Authors
Lijuan Duan, Dongkui Zhang, Fan Xu, Guoqin Cui
Corresponding Author
Lijuan Duan
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.21How to use a DOI?
Keywords
video encryption; faster R-CNN; the ROI of video
Abstract
In order to improve the generalization perfor-mance of video encryption and reduce the amount of data in vid-eo en-cryption, this paper proposes a video encryption on regions of interest (ROI) method based on Faster R-CNN by combining machine learning with information security. The method trains a Faster R-CNN model using the ROI dataset firstly, and then uses the model to extract ROI in the video. Different encryption algo-rithms are used to encrypt ROI and non-ROI in the video respec-tively. To overcome the shortcomings of encryption algorithms that can only be used for a specific coded video, a special video encryption method is proposed to encrypt the video with different video coding structure and has better generalization performance. Compared with the encryption method in the video coding pro-cess, this method considers the content information of the video fully and has better performance. It can be concluded through experiments that the encryption method in this paper has the characteristics of higher security and less calculation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lijuan Duan
AU  - Dongkui Zhang
AU  - Fan Xu
AU  - Guoqin Cui
PY  - 2018/02
DA  - 2018/02
TI  - A Novel Video Encryption Method Based on Faster R-CNN
PB  - Atlantis Press
SP  - 100
EP  - 104
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.21
DO  - https://doi.org/10.2991/csece-18.2018.21
ID  - Duan2018/02
ER  -