{"title":"On Requantization in Intra-Frame Video Transcoding with Different Transform Block Sizes","authors":"J. Bialkowski, M. Barkowsky, André Kaup","doi":"10.1109/MMSP.2005.248669","DOIUrl":null,"url":null,"abstract":"Transcoding is a technique to convert one video bit-stream into another. While homogeneous transcoding is done at the same coding standard, inhomogeneous transcoding converts from one standard format to another standard. Inhomogeneous transcoding between MPEG-2, MPEG-4 or H.263 was performed using the same transform. With the standardisation of H.264 also a new transform basis and different block size was defined. For requantization from block size 8times8 to 4times4 this leads to the effect that the quantization error of one coefficient in a block of size 8times8 is distributed over multiple coefficients in blocks of size 4times4. In our work, we analyze the requantization process for inhomogeneous transcoding with different transforms. The deduced equations result in an expression for the correlation of the error contributions from the coefficients of block size 8times8 at each coefficient of block size 4times4. We then compare the mathematical analysis to simulations on real sequences. The reference to the requantization process is the direct quantization of the undistorted signal. It will be shown that the loss is as high as 3 dB PSNR at equivalent step size for input and output bitstream. Also an equation for the choice of the second quantization step size in dependency of the requantization loss is deduced. The model is then extended from the DCT to the integer-based transform as defined in H.264","PeriodicalId":191719,"journal":{"name":"2005 IEEE 7th Workshop on Multimedia Signal Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE 7th Workshop on Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2005.248669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Transcoding is a technique to convert one video bit-stream into another. While homogeneous transcoding is done at the same coding standard, inhomogeneous transcoding converts from one standard format to another standard. Inhomogeneous transcoding between MPEG-2, MPEG-4 or H.263 was performed using the same transform. With the standardisation of H.264 also a new transform basis and different block size was defined. For requantization from block size 8times8 to 4times4 this leads to the effect that the quantization error of one coefficient in a block of size 8times8 is distributed over multiple coefficients in blocks of size 4times4. In our work, we analyze the requantization process for inhomogeneous transcoding with different transforms. The deduced equations result in an expression for the correlation of the error contributions from the coefficients of block size 8times8 at each coefficient of block size 4times4. We then compare the mathematical analysis to simulations on real sequences. The reference to the requantization process is the direct quantization of the undistorted signal. It will be shown that the loss is as high as 3 dB PSNR at equivalent step size for input and output bitstream. Also an equation for the choice of the second quantization step size in dependency of the requantization loss is deduced. The model is then extended from the DCT to the integer-based transform as defined in H.264
转码是一种将一个视频比特流转换成另一个视频比特流的技术。同构转码是在相同的编码标准下完成的,而非同构转码将从一种标准格式转换为另一种标准格式。在MPEG-2、MPEG-4或H.263之间使用相同的变换进行非均匀转码。随着H.264的标准化,定义了新的变换基和不同的块大小。对于从块大小8times8到4times4的量化要求,这会导致大小为8times8的块中的一个系数的量化误差分布在大小为4times4的块中的多个系数上。在我们的工作中,我们分析了不同变换的非齐次转码的需求过程。推导出的方程给出了块大小为8倍8的系数在块大小为4倍4的每个系数上的误差贡献的相关性表达式。然后将数学分析与实际序列的模拟进行比较。量化过程的参考是对未失真信号的直接量化。将显示,在输入和输出比特流的等效步长下,损耗高达3 dB PSNR。并推导出了与量化损失相关的二次量化步长选择公式。然后将该模型从DCT扩展到H.264中定义的基于整数的变换