首页 | 本学科首页   官方微博 | 高级检索  
     

控制关键帧选择的H.264熵编码加密算法研究
引用本文:张小红.控制关键帧选择的H.264熵编码加密算法研究[J].中国图象图形学报,2014,19(3).
作者姓名:张小红
作者单位:江西理工大学
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:常见的H.264熵编码加密是一种将加密方案与熵编码方式融合的视频安全算法,这种算法不仅加解密速度快且可保持数据格式不变,是一种兼容性的加密方案,但需要处理帧内所有数据。针对熵编码加密过程中存在的不足,提出了一种基于关键帧选择与熵编码相结合的视频加密方法,通过获取一帧中所有8*8子宏块的运动矢量,构造一个用于表示每一帧内容变化情况的向量F,然后将其欧几里德范数与阈值K比较,如果大于或等于阈值,则确定当前帧是关键帧,则在下一帧熵编码时加密其运动矢量差与残差系数值,否则不参与任何加密运算。通过控制阈值K的大小来决定关键帧的选择,并结合混沌序列加密关键帧数据来保证视频信息的安全性,与熵编码加密算法相比,加密数据平均减少数据量约为39.78%。实验表明该加密方法在保持编码后数据总量不变的情况下,以较小的时间代价获得了良好的加密效果,且与常规的熵编码加密算法相比大幅度减少了加密数据量

关 键 词:关键帧  熵编码  运动矢量  视频加密  欧氏范数

H.264 video entropy coding encryption research by controlling key frames
Zhang Xiaohong.H.264 video entropy coding encryption research by controlling key frames[J].Journal of Image and Graphics,2014,19(3).
Authors:Zhang Xiaohong
Abstract:Commonly, H.264 entropy coding encryption is a fusion of encryption and entropy encoding video security algorithm, which is fast and data format can remain unchanged.It is a compatibility encryption scheme, but needs to deal with all of the data frames. For the defects of the entropy coding encryption process, this paper proposes a video encryption methods based on key frames selection combined with entropy coding, by capturing all 8*8 sub-macroblock motion vectors in one frame, constructs the vector F to represent the change of the content of each frame, then the Euclidean norm compares with threshold K, if greater than or equal to the threshold, the current frame is the key frames, then encrypts the next frame when coding motion vector and the coefficient of residual value, otherwise does not participate in any encryption arithmetic. By controlling the threshold value K to determine the key frame selection, combines with the chaotic sequence to guarantee the security of videos. Comparing with the entropy coding encryption algorithm, encryption data reduces about 39.78%. The experiments show that the encryption method maintains the total data, obtains a good encryption effect with smaller time cost, and significantly reduces the amount of encrypted data.
Keywords:key frames  entropy encoding  motion vector  video encryption  Euclidean norm
点击此处可从《中国图象图形学报》浏览原始摘要信息
点击此处可从《中国图象图形学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号