运动序列的短期统计特性
SHORT-TERM STATISTICAL CHARACTERISTICS FOR MOVING SEQUENCES
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摘要: 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.Abstract: Short-term statistical characteristics of moving sequences is discussed in this paper. To get reasonable results, real time motion image sequences are used, bit numbers of each macroblock after encoding using MPEG(Moving Pictures Experts Group) compression algrithom is analyzed.In the mean time, the effect of quantiser scale and quantiser matrix to the statistical property is also researched. Simulation result shows that quantiser scale plays a important role in the statistical property, while quantiser matrix has little influence. If small quantiser scale is adopted, image contents will affect the probability distribution at low bit end, and its influence decreases as the quantiser scale is relatively large.
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