[1]易银城,冯桂,陈婧.采用深度帧内跳过模式的3D-HEVC视频水印算法[J].华侨大学学报(自然科学版),2020,41(3):357-365.[doi:10.11830/ISSN.1000-5013.201910040]
 YI Yincheng,FENG Gui,CHEN Jing.Video Watermarking Algorithm for 3D-HEVC Using Depth Intra Skip Mode[J].Journal of Huaqiao University(Natural Science),2020,41(3):357-365.[doi:10.11830/ISSN.1000-5013.201910040]
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采用深度帧内跳过模式的3D-HEVC视频水印算法()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第41卷
期数:
2020年第3期
页码:
357-365
栏目:
出版日期:
2020-05-20

文章信息/Info

Title:
Video Watermarking Algorithm for 3D-HEVC Using Depth Intra Skip Mode
文章编号:
1000-5013(2020)03-0357-09
作者:
易银城 冯桂 陈婧
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
YI Yincheng FENG Gui CHEN Jing
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
视频水印 3D-HEVC 深度帧内跳过模式 误差传播
Keywords:
video watermarking 3D-HEVC depth intra skip mode error propagation
分类号:
TP391
DOI:
10.11830/ISSN.1000-5013.201910040
文献标志码:
A
摘要:
考虑到目前针对3维高效视频编码标准的视频水印算法缺乏的问题,提出一种基于深度帧内跳过模式的视频水印算法.首先,分析深度帧内跳过模式的编码过程,并将该模式的4种预测类型分为垂直、水平两大类;其次,进一步分析帧内误差传播问题,对深度帧内跳过模式的预测类型与水印值不匹配的嵌入单元进行选择,以消除传播误差.最后,根据水印嵌入前、后的率失真代价变化来决定是否修改其预测类型.结果表明:在不同的量化参数下,平均每帧嵌入容量分别为649.567,340.155,173.286和58.130 bit,平均比特率变化分别为0.043%,0.046%,0.460%和0.018%.算法对比结果还表明:文中所提算法具有更大的嵌入容量,对比特率的影响更小,在对比特率影响小的同时具有一定的抗重编码攻击性能.
Abstract:
Currently, considering the shortage of the video watermarking for 3-dimentional high efficiency video coding(3D-HEVC), a video watermarking algorithm based on depth intra skip(DIS)mode is proposed. Firstly, the encoding process for depth intra skip mode which contains four prediction types is analyzed and these four types are classified into two categories, namely, horizontal mode and vertical mode. Secondly, the problem of intra-frame error propagation is further analyzed, the propagation error can be eliminated by the selection of embedded units in case of its prediction type does not match the watermark value. Finally, the decision for prediction type modification is made according to the variation of rate-distortion cost before and after the process of embedding. The experimental results show that, under different quantization parameters, the proposed scheme provides the average embedding capacity of 649.567, 340.155, 173.286 and 58.130 bit per frame, and the average bit changing rate of 0.043%, 0.046%, 0.460% and 0.018%, respectively. Meanwhile, the proposed algorithm,according to the comparison results has a higher embedding capacity and less impact on the bitrate, and it also has a negligible impact on bitrate and can resist the re-compression attack to a certain extent.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2019-10-27
通信作者: 冯桂(1960-),女,教授,博士,主要从事信号与信息处理、通信系统信息安全理论、多媒体通信、基于特征的数字水印技术理论与应用等的研究.E-mail:fengg@hqu.edu.cn.
基金项目: 国家自然科学基金青年科学基金资助项目(61802136); 福建省自然科学基金资助项目(2016J01306); 福建省中青年教师教育科研基金资助项目(JAT160034); 华侨大学研究生科研创新能力培育计
更新日期/Last Update: 2020-05-20