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首页> 外文期刊>Circuits and Systems for Video Technology, IEEE Transactions on >A Low Complexity System for Multiple Data Embedding Into H.264 Coded Video Bit-Stream
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A Low Complexity System for Multiple Data Embedding Into H.264 Coded Video Bit-Stream

机译:一个低复杂性系统,用于将多个数据嵌入到H.264编码视频比特流中

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摘要

This article investigates the relative performance of multiple data embedding into H.264 compressed video under two schemes of closed-loop and open-loop methods. In closed-loop, a part of an encoder is modified to embed data within the encoding loop during re-compression, while in the open-loop scenario, a part of decoder is modified to embed data out of decoding loop. It is shown, while for the first instance of embedding, both methods behave almost similarly for all picture types, for later instances of embedding, open-loop outperforms the closed-loop method. Moreover, the required time for embedding and extracting processes of open-loop method is only 1-1.5% of that of the closed-loop counterpart. In both methods, the quality of watermarked video and the data hiding capacity are controlled by the position of last non-zero (LNZ) coefficient in the H.264 zigzag scanning order. However, for B-pictures, the side-effect of embedding distortion is very limited (in the order of 0.002 in terms of SSIM), but for I- and P-pictures it can be significant. Picture degradations in I- and P-frames are alleviated by confining data embedding only into the last block of macroblocks of I-frames and the last P-frame in the GOP, respectively. Finally, it is shown that while with CAVLC type entropy coder, the number of increased bits due to data embedding can vary from 5%-65% of the metadata volume (depending on quality degradation) this value with CABAC coder is only less than 20% of that under CAVLC.
机译:本文在闭环和开环方法的两种方案下调查多数据嵌入到H.264压缩视频中的相对性能。在闭环中,修改编码器的一部分以在重新压缩期间修改编码循环内的数据,而在开环场景中,修改了解码器的一部分以嵌入解码循环中的数据。结果显示,而对于第一个嵌入实例,两种方法对于所有图像类型而言,对于稍后的嵌入实例,开路越突出闭环方法。此外,嵌入和提取开环方法的所需时间仅为闭环对应物的1-1.5%。在这两种方法中,水印视频的质量和数据隐藏容量由H.264之字形扫描顺序中的最后一个非零(LNZ)系数的位置控制。然而,对于B图像,嵌入失真的副作用非常有限(从SSIM方面大约为0.002),但对于I-和P图像,它可能是显着的。通过仅将数据嵌入到I帧的最后一个宏块和GOP中的最后一个P帧的最后一个块分别将数据嵌入到I帧的数据嵌入和P帧中,可以缓解I-和P帧中的图像劣化。最后,表明,在使用Cavlc型熵编码器的同时,由于数据嵌入导致的增加的比特数可以从元数据量的5%-65%(取决于质量劣化),并且CABAC编码器的该值仅小于20 Cavlc下的%。

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