(,t*)=2(11-2t*-1),where(,)=(-1)exp{-[d(-())-d(-)d(-())-d(-())]}."/> ENTROPY CONSTRAINED SCALAR QUANTIZER FOR A LAPLACE-MARKOV DATA SOURCE
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ENTROPY CONSTRAINED SCALAR QUANTIZER FOR A LAPLACE-MARKOV DATA SOURCE

机译:Laplace-Markov数据源的熵约束标量量化器

摘要

A video coding system and method for coding an input frame in which the evolution of discrete cosine transform (DCT) coefficients is modeled as a Laplace-Markov process, the system comprising: a base layer processing system for generating a base layer reconstruction; an enhancement layer processing system for generating an enhancement layer reconstruction; and an entropy constrained scalar quantizer (ECSQ) system for descritizing a prediction residual between the input frame and an estimation theoretic (ET) prediction output; wherein the ECSQ system utilizes an ECSQ that comprises a uniform threshold quantizer with a deadzone size defined by the equation: (,t*)=2(11-2t*-1),where(,)=(-1)exp{-[d(-())-d(-)d(-())-d(-())]}.
机译:一种视频编码系统和用于对输入帧进行编码的方法,其中将离散余弦变换(DCT)系数的演化建模为拉普拉斯-马尔可夫过程,该系统包括:用于产生基础层重建的基础层处理系统;用于生成增强层重构的增强层处理系统;熵约束标量量化器(ECSQ)系统,用于去除输入帧与估计理论预测输出之间的预测残差。其中,ECSQ系统利用ECSQ,该ECSQ包括具有由等式定义的死区大小的统一阈值量化器: t * = 2 1 1 - 2 t * - 1 哪里 < M:mo /> = < M:mrow> < M:mo>- 1 exp { - [ d - - d - < / M:mrow> d - )< / M:mo> - d < M:mrow> - ] } 。< / M:mo>

著录项

  • 公开/公告号EP1512295A2

    专利类型

  • 公开/公告日2005-03-09

    原文格式PDF

  • 申请/专利权人 KONINKLIJKE PHILIPS ELECTRONICS N.V.;

    申请/专利号EP20030732835

  • 发明设计人 YE JONG C.;CHEN YINGWEI;

    申请日2003-06-04

  • 分类号H04N7/50;H04N7/26;

  • 国家 EP

  • 入库时间 2022-08-21 22:07:59

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