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VC-1 zero block detection method in motion estimation video coding

机译:运动估计视频编码中的VC-1零块检测方法

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In this paper, we propose a VC-1 zero block detection method, for very low bit-rate applications that skip the transform operation for detected zero blocks. The proposed method works during the process of motion search for inter frame coding, by comparing the SAD of each residual block to two thresholds based on a value related to the QP, resulting in a two-option method for each threshold; where the 1st is for preserving quality, and the 2nd is for saving time. Normally VC-1 skips the quantization operation for detected zero blocks. In addition when a MB (macro-block) is detected as a zero MB, meaning that all 6 blocks in a MB are zeros; VC-1 signals this MB as a skipped MB, where it's treated differently and many processes are skipped on the MB layer. For that reason, the proposed method is enhanced again with skipping the transform operation, but for MBs with five zero blocks. Meaning that a 6th non-zero block in the MB will be a zero block, and the whole MB will then be signaled as a skipped MB. Loosing the information of the non-zero block, adds quality degradation, but compression takes place more effectively. Among the four sequences tested the Hall showed the best results with up to 73.55%, 78.00%, and 88.91% of the original file size, encoding, and decoding times respectively. On the other hand, the quality degraded, as was expected, with a maximum average PSNR by 5.3 dB for the Hall sequence and 3.4 dB in the Foreman sequence.
机译:在本文中,我们提出了一种VC-1零块检测方法,适用于非常低的比特率应用,这些应用跳过了对检测到的零块的变换操作。通过将每个残差块的SAD与基于QP相关的值的两个阈值进行比较,该方法在帧间编码运动搜索过程中起作用,从而为每个阈值提供了两种选择方法。其中1 st 是为了保持质量,而2 nd 是为了节省时间。通常,VC-1会跳过检测到的零块的量化操作。另外,当检测到MB(宏块)为零MB时,意味着MB中的所有6个块均为零。 VC-1将此MB信号表示为已跳过的MB,在此对它进行了不同的处理,并且在MB层上跳过了许多进程。因此,所提出的方法通过跳过变换操作而再次得到增强,但是对于具有五个零块的MB而言。这意味着MB中第6个非零块将是一个零块,然后整个MB将被信号通知为已跳过的MB。丢失非零块的信息会增加质量下降,但压缩会更有效地进行。在经过测试的四个序列中,霍尔显示出最佳结果,分别达到原始文件大小,编码和解码时间的73.55%,78.00%和88.91%。另一方面,如预期的那样,质量下降,霍尔序列的最大平均PSNR降低5.3 dB,而工头序列的平均平均PSNR降低3.4 dB。

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