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    • 5. 发明申请
    • ADAPTIVE QUANTIZATION BASED ON BIT RATIO
    • 基于比特率的自适应量化
    • WO2010069367A1
    • 2010-06-24
    • PCT/EP2008/067718
    • 2008-12-17
    • TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)SJOBERG, RickardBOCK, Alois Martin
    • SJOBERG, RickardBOCK, Alois Martin
    • H04N7/26H04N7/50
    • H04N19/194H04N19/126H04N19/14H04N19/15H04N19/61
    • There is provided a method of adapting a Quantization parameter of digitally encoded video, comprising using a look-ahead encoding pass to provide look-ahead bit costs for each macroblock in a picture of interest, calculating an activity metric for each macroblock in the picture of interest, determining at least an accumulated look- ahead bit cost threshold for a low macroblock activity category, wherein the low macroblock activity category comprises macroblocks having an activity metric below a pre-determined level, sorting the macroblocks according to the calculated activity metrics of each macroblock to provide sorted macroblocks, adding sorted macroblocks to the low macroblock activity category in ascending activity order and accumulating bit costs of the added sorted macroblocks up to the determined accumulated look-ahead bit cost threshold, and applying a change in quantization parameter, Qp, to the macroblocks of the picture of interest comprising decreasing the Qp value of the macroblocks in the low macroblock activity category.
    • 提供了一种适应数字编码视频的量化参数的方法,包括使用先行编码遍以提供感兴趣的图片中的每个宏块的先行位成本,计算图像中每个宏块的活动度量 确定低宏块活动类别的至少累积超前位成本阈值,其中所述低宏块活动类别包括具有低于预定电平的活动度量的宏块,根据所计算的每个所述活动度量的活动度量对所述宏块进行排序 宏块,以提供排序的宏块,按升序的活动顺序将排序的宏块添加到低宏块活动类别,并将所添加的分类宏块的比特成本累积到所确定的累积预先比特成本阈值,并应用量化参数Qp, 涉及到所关注的图像的宏块,包括降低该图像的Qp值 低宏块活动类别中的宏块。