摘要
数字水印技术为视频传输、视频共享以及一些扩展视频服务中存在的诸多问题提供了一种有效的解决途径,属于信息隐藏领域,它的基本思想是通过在数字媒体信号中嵌入一定量的附加信息,例如作品的所有权、使用权或者公司的标识等,实现信息管理或保护的目的。H. 264是当前广泛使用的视频编码标准,它采用混合编码框架,包括帧内预测、帧间预测、变换、量化、自适应熵编码等模块。视频信号的数据量庞大、带宽高、冗余信息多,基本上都是以压缩的格式存储的特性,使得在视频中嵌入数字水印更为困难。这些特征使得视频水印在水印容量、水印复杂度以及结合压缩域处理操作等方面的要求比其他多媒体信号更高,因此,视频水印除了要满足数字水印的一般要求,如安全性、鲁棒性、隐藏性等特性之外,还有一些独特的技术要求。本文对压缩域视频水印相关技术进行了分析并对研究方法进行了讨论,提出了目前存在的问题及未来研究的方向。
Digital watermarking technology provides an effective solution for video transmission, video sharing and some problems in extended video services. Digital watermark belongs to the field of information hiding. Its basic idea is to realize the purpose of information management or protection by embedding a certain amount of additional information in the digital media signal, such as the ownership of the work, the right to use or the logo of the company. H. 264 is a widely used video coding standard, which uses a hybrid coding framework, including intra prediction, inter prediction, transform, quantization, adaptive entropy coding and other modules. Video signals have a large amount of data, high bandwidth, and redundant information. They are basically stored in a compressed format, making it more difficult to embed digital watermarks in video. These features make the video watermark higher in terms of watermark capacity, watermark complexity and combined compression domain processing operations than other multimedia signals. Therefore, in addition to the general requirements of digital watermarking, such as security, robustness, and concealment, video watermarking has some unique technical requirements. In this paper, the compression domain video watermark related technology is analyzed and the research methods are discussed. The existing problems and future research directions are proposed.
作者
朱新山
杨璐
ZHU Xinshan;YANG Lu(Tianjin University,School of Electrical and Information Engineer,Tianjin 300072,China;Institute of Information Engineering,Chinese Academy of Sciences,State Key Laboratory of Information Security,Beijing 100093,China)
出处
《信息安全学报》
CSCD
2018年第6期28-41,共14页
Journal of Cyber Security
基金
信息安全国家重点实验室开放课题(No.2017-MS-11)资助
作者简介
通讯作者:朱新山,博士,天津大学副教授,Email:xszhu126@126.com。博士,现任天津大学自动化学院副教授。研究方向为机器学习、多媒体取证、多媒体信息隐藏;杨璐,硕士研究生,现在天津大学控制工程专业攻读硕士学位。研究方向为数字水印、信息安全。Email:yluyang@tju.edu.cn
