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本文利用动态图象序列研究了运动序列的短期统计特性,对每个宏块经过压缩后所产生的比特数进行了分析,研究了量化比例因子和量化加权矩阵对短期统计特性的影响.统计结果表明,量化比例因子对每个宏块比特数的概率分布影响最为明显,量化加权矩阵对分布特性的轮廓影响很小,当量化比较精细时图象内容对分布特性的低比特部分影响比较明显,而粗量化时它的影响较弱.
In this paper, the dynamic image sequence is used to study the short-term statistical properties of motion sequences, the number of bits generated after each macroblock is compressed is analyzed, and the effect of quantization scale factor and quantization weight matrix on short-term statistical properties is investigated. It is shown that the quantization scale factor has the most significant effect on the probability distribution of the number of bits per macroblock. The quantization weight matrix has little influence on the profile of the distribution. When the quantization is finer, the image content has a more significant influence on the low- It has a weaker effect when it is coarsely quantized.