A Novel Video Encryption Method Based on Faster R-CNN
Lijuan Duan, Dongkui Zhang, Fan Xu, Guoqin Cui
Available Online February 2018.
- https://doi.org/10.2991/csece-18.2018.21How to use a DOI?
- video encryption; faster R-CNN; the ROI of video
- 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.
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 -