A Novel Video Encryption Method Based on Faster R-CNN

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 100
EP  - 104
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.21
DO  - 10.2991/csece-18.2018.21
ID  - Duan2018/02
ER  -