LOW COMPLEXITY SAMPLE ADAPTIVE OFFSET ENCODING
    2.
    发明申请
    LOW COMPLEXITY SAMPLE ADAPTIVE OFFSET ENCODING 有权
    低复杂度自适应偏移编码

    公开(公告)号:US20150215617A1

    公开(公告)日:2015-07-30

    申请号:US14274215

    申请日:2014-05-09

    Abstract: At least one processor is configured to encode samples of a largest coding unit (LCU) of a picture using a sample adaptive offset (SAO) mode. To encode the samples of the LCU using SAO, the at least one processor is configured to: calculate differences between corresponding reconstructed samples of the LCU and original samples of the LCU, clip a number of bits from each of the differences to form clipped differences, sum the clipped differences to form a sum of differences, clip the sum of differences to form a clipped sum of differences, calculate a number of the reconstructed samples, clip a number of bits from the number of reconstructed samples to form a dipped number of samples, and divide the clipped sum of differences by the clipped number of samples to produce an offset for the LCU.

    Abstract translation: 至少一个处理器被配置为使用采样自适应偏移(SAO)模式对图像的最大编码单元(LCU)的采样进行编码。 为了使用SAO对LCU的样本进行编码,所述至少一个处理器被配置为:计算LCU的相应重建样本与LCU的原始样本之间的差异,从每个差异剪切位数以形成裁剪的差异, 将剪切的差值相加以形成差值之和,剪除差分之和以形成限幅差值之和,计算重构样本的数量,从重构样本的数量中剪除一些位数以形成浸渍数量的样本 ,并将限制的差值和除以剪切数量的样本,以产生LCU的偏移量。

    SCALABLE IMPLEMENTATION FOR PARALLEL MOTION ESTIMATION REGIONS
    4.
    发明申请
    SCALABLE IMPLEMENTATION FOR PARALLEL MOTION ESTIMATION REGIONS 有权
    并行运动估计区域的可扩展实现

    公开(公告)号:US20150163506A1

    公开(公告)日:2015-06-11

    申请号:US14099800

    申请日:2013-12-06

    CPC classification number: H04N19/513 H04N19/187 H04N19/436 H04N19/52

    Abstract: A video coding device configured according to some aspects of this disclosure includes a memory configured to store a plurality of motion vector candidates. Each motion vector candidate can corresponding to at least one of a plurality of prediction units (PUs) partitioned in a parallel motion estimation region (MER). The video coding device also includes a processor in communication with the memory. The processor is configured to select a subset of the plurality of motion vector candidates to include in a merge candidate list. The selection can be based on a priority level of each motion vector candidate. The processor can be further configured to generate the merge candidate list to include the selected motion vector candidates.

    Abstract translation: 根据本公开的一些方面配置的视频编码装置包括被配置为存储多个运动矢量候选的存储器。 每个运动矢量候选可以对应于在并行运动估计区域(MER)中分割的多个预测单元(PU)中的至少一个。 视频编码装置还包括与存储器通信的处理器。 处理器被配置为选择多个运动矢量候选的子集以包括在合并候选列表中。 该选择可以基于每个运动矢量候选的优先级。 处理器可以被进一步配置成生成合并候选列表以包括所选择的运动向量候选。

    Scalable implementation for parallel motion estimation regions
    6.
    发明授权
    Scalable implementation for parallel motion estimation regions 有权
    并行运动估计区域的可扩展实现

    公开(公告)号:US09432685B2

    公开(公告)日:2016-08-30

    申请号:US14099800

    申请日:2013-12-06

    CPC classification number: H04N19/513 H04N19/187 H04N19/436 H04N19/52

    Abstract: A video coding device configured according to some aspects of this disclosure includes a memory configured to store a plurality of motion vector candidates. Each motion vector candidate can corresponding to at least one of a plurality of prediction units (PUs) partitioned in a parallel motion estimation region (MER). The video coding device also includes a processor in communication with the memory. The processor is configured to select a subset of the plurality of motion vector candidates to include in a merge candidate list. The selection can be based on a priority level of each motion vector candidate. The processor can be further configured to generate the merge candidate list to include the selected motion vector candidates.

    Abstract translation: 根据本公开的一些方面配置的视频编码装置包括被配置为存储多个运动矢量候选的存储器。 每个运动矢量候选可以对应于在并行运动估计区域(MER)中分割的多个预测单元(PU)中的至少一个。 视频编码装置还包括与存储器通信的处理器。 处理器被配置为选择多个运动矢量候选的子集以包括在合并候选列表中。 该选择可以基于每个运动矢量候选的优先级。 处理器可以被进一步配置成生成合并候选列表以包括所选择的运动向量候选。

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