Histogram Segmentation Based Local Adaptive Filter for Video Encoding and Decoding
    31.
    发明申请
    Histogram Segmentation Based Local Adaptive Filter for Video Encoding and Decoding 有权
    用于视频编码和解码的基于直方图分割的局部自适应滤波器

    公开(公告)号:US20140086304A1

    公开(公告)日:2014-03-27

    申请号:US13991592

    申请日:2012-09-24

    IPC分类号: H04N7/26

    摘要: Reconstructed picture quality for a video codec system may be improved by categorizing reconstructed pixels into different histogram bins with histogram segmentation and then applying different filters on different bins. Histogram segmentation may be performed by averagely dividing the histogram into M bins or adaptively dividing the histogram into N bins based on the histogram characteristics. Here M and N may be a predefined, fixed, non-negative integer value or an adaptively generated value at encoder side and may be sent to decoder through the coded bitstream.

    摘要翻译: 通过将重建的像素分类为具有直方图分割的不同的直方图箱,然后在不同的箱上应用不同的过滤器,可以改进用于视频编解码器系统的重构图像质量。 直方图分割可以通过将直方图平均地划分成M个箱或者基于直方图特征将直方图自适应地划分成N个箱来执行。 这里M和N可以是编码器侧的预定义的,固定的,非负整数值或自适应产生的值,并且可以通过编码比特流发送到解码器。

    System and method for enhanced DMVD processing
    32.
    发明授权
    System and method for enhanced DMVD processing 有权
    用于增强DMVD处理的系统和方法

    公开(公告)号:US09509995B2

    公开(公告)日:2016-11-29

    申请号:US13996582

    申请日:2010-12-21

    摘要: To let decoder side motion vector derivation (DMVD) coded blocks be decoded in parallel, decoder side motion estimation (ME) dependency on spatially neighboring reconstructed pixels can be removed. Mirror ME and projective ME are only performed on two reference pictures, and the spatially neighboring reconstructed pixels will not be considered in the measurement metric of the decoder side ME. Also, at a video decoder, motion estimation for a target block in a current picture can be performed by calculating a motion vector for a spatially neighboring DMVD block, using the calculated motion vector to predict motion vectors of neighboring blocks of the DMVD block, and decoding the DMVD block and the target block in parallel. In addition, determining a best motion vector for a target block in a current picture can be performed by searching only candidate motion vectors in a search window, wherein candidate motion vectors are derived from a small range motion search around motion vectors of neighboring blocks.

    摘要翻译: 为了使解码器侧运动矢量导出(DMVD)编码块并行解码,可以去除对空间相邻的重建像素的解码器侧运动估计(ME)依赖性。 镜像ME和投影ME仅在两个参考图像上执行,并且在解码器侧ME的测量度量中将不考虑空间相邻的重建像素。 此外,在视频解码器中,可以使用所计算的运动矢量来计算当前图像中的目标块的运动估计,以通过计算空间相邻的DMVD块的运动矢量来预测DMVD块的相邻块的运动矢量,以及 对DMVD块和目标块进行并行解码。 此外,通过仅在搜索窗口中仅搜索候选运动矢量来执行确定当前图片中的目标块的最佳运动矢量,其中,从围绕相邻块的运动矢量的小范围运动搜索导出候选运动矢量。

    CROSS-CHANNEL RESIDUAL PREDICTION
    33.
    发明申请
    CROSS-CHANNEL RESIDUAL PREDICTION 审中-公开
    跨渠道残留预测

    公开(公告)号:US20140219347A1

    公开(公告)日:2014-08-07

    申请号:US14244411

    申请日:2014-04-03

    IPC分类号: H04N19/61

    摘要: Systems, apparatus and methods are described including determining a prediction residual for a channel of video data; and determining, using the first channel's prediction residual, a prediction residual for a second channel of the video data. Further, a prediction residual for a third channel of the video data may be determined using the second channel's prediction residual.

    摘要翻译: 描述了系统,装置和方法,包括确定视频数据的信道的预测残差; 以及使用所述第一信道的预测残差来确定所述视频数据的第二信道的预测残差。 此外,可以使用第二信道的预测残差来确定视频数据的第三信道的预测残差。

    Luma-based chroma intra prediction
    35.
    发明授权
    Luma-based chroma intra prediction 有权
    基于亮度的色度帧内预测

    公开(公告)号:US08724711B2

    公开(公告)日:2014-05-13

    申请号:US13512992

    申请日:2011-07-12

    IPC分类号: H04N7/12

    摘要: Systems, devices and methods for performing luma-based chroma ultra prediction are described. Down-sample filters may be applied to luma values of luma pixel positions to generate reconstructed luma values for chroma pixel positions in a prediction unit of an intra frame. The down-sampled reconstructed luma values may then be used to predict chroma values for the chroma pixel positions. In some implementations, a reconstructed luma value of a chroma position may be used to predict that position's chroma value. In other implementations, reconstructed luma values of neighboring chroma pixel positions may be analyzed to adaptively predict a chroma value for a chroma pixel position.

    摘要翻译: 描述了用于执行基于亮度的色度帧内预测的系统,设备和方法。 下采样滤波器可以应用于亮度像素位置的亮度值,以生成帧内预测单元中的色度像素位置的重建亮度值。 然后可以使用下采样的重构亮度值来预测色度像素位置的色度值。 在一些实现中,可以使用色度位置的重建亮度值来预测该位置的色度值。 在其他实现中,可以分析相邻色度像素位置的重建亮度值以自适应地预测色度像素位置的色度值。

    LUMA-BASED CHROMA INTRA PREDICTION
    38.
    发明申请
    LUMA-BASED CHROMA INTRA PREDICTION 有权
    基于LUMA的色谱预测

    公开(公告)号:US20130136174A1

    公开(公告)日:2013-05-30

    申请号:US13512992

    申请日:2011-07-12

    IPC分类号: H04N7/26 H04N7/32

    摘要: Systems, devices and methods for performing luma-based chroma ultra prediction are described. Down-sample filters may be applied to luma values of luma pixel positions to generate reconstructed luma values for chroma pixel positions in a prediction unit of an intra frame. The down-sampled reconstructed luma values may then be used to predict chroma values for the chroma pixel positions. In some implementations, a reconstructed luma value of a chroma position may be used to predict that position's chroma value. In other implementations, reconstructed luma values of neighboring chroma pixel positions may be analyzed to adaptively predict a chroma value for a chroma pixel position.

    摘要翻译: 描述了用于执行基于亮度的色度帧内预测的系统,设备和方法。 下采样滤波器可以应用于亮度像素位置的亮度值,以生成帧内预测单元中的色度像素位置的重建亮度值。 然后可以使用下采样的重构亮度值来预测色度像素位置的色度值。 在一些实现中,可以使用色度位置的重建亮度值来预测该位置的色度值。 在其他实现中,可以分析相邻色度像素位置的重建亮度值以自适应地预测色度像素位置的色度值。

    METHODS AND SYSTEMS TO ESTIMATE MOTION BASED ON RECONSTRUCTED REFERENCE FRAMES AT A VIDEO DECODER
    39.
    发明申请
    METHODS AND SYSTEMS TO ESTIMATE MOTION BASED ON RECONSTRUCTED REFERENCE FRAMES AT A VIDEO DECODER 有权
    基于视频解码器上重构的参考帧估计运动的方法和系统

    公开(公告)号:US20110002389A1

    公开(公告)日:2011-01-06

    申请号:US12566823

    申请日:2009-09-25

    IPC分类号: H04N7/26

    摘要: Methods and systems to apply motion estimation (ME) based on reconstructed reference pictures in a B frame or in a P frame at a video decoder. For a P frame, projective ME may be performed to obtain a motion vector (MV) for a current input block. In a B frame, both projective ME and mirror ME may be performed to obtain an MV for the current input block. The ME process can be performed on sub-partitions of the input block, which may reduce the prediction error without increasing the amount of MV information in the bitstream. Decoder-side ME can be applied for the prediction of existing inter frame coding modes, and traditional ME or the decoder-side ME can be adaptively selected to predict a coding mode based on a rate distribution optimization (RDO) criterion.

    摘要翻译: 基于在B帧或视频解码器的P帧中的重建参考图像应用运动估计(ME)的方法和系统。 对于P帧,可以执行投影ME以获得当前输入块的运动矢量(MV)。 在B帧中,可以执行投射ME和镜ME两者以获得当前输入块的MV。 可以在输入块的子分区上执行ME处理,这可以在不增加比特流中的MV信息的量的情况下减少预测误差。 解码器端ME可以应用于现有的帧间编码模式的预测,并且传统的ME或解码器侧的ME可以被自适应地选择以基于速率分布优化(RDO)准则来预测编码模式。

    Techniques for motion estimation
    40.
    发明申请
    Techniques for motion estimation 审中-公开
    运动估计技术

    公开(公告)号:US20110002387A1

    公开(公告)日:2011-01-06

    申请号:US12657168

    申请日:2010-01-14

    IPC分类号: H04N7/26

    CPC分类号: H04N19/57 H04N19/44 H04N19/61

    摘要: Techniques are described that can be used to apply motion estimation (ME) based on reconstructed reference pictures in a B frame or in a P frame at a video decoder. For a P frame, projective ME may be performed to obtain a motion vector (MV) for a current input block. In a B frame, both projective ME and mirror ME may be performed to obtain an MV for the current input block. A metric an be used determining a metric for each pair of MV0 and MV1 that is found in the search path, where the metric is based on a combination of a first, second, and third metrics. The first metric is based on temporal frame correlation, a second metric is based on spatial neighbors of the reference blocks, and a third metric is based on the spatial neighbors of the current block.

    摘要翻译: 描述了可以用于基于B帧中的重建参考图像或视频解码器的P帧中的运动估计(ME)来应用的技术。 对于P帧,可以执行投影ME以获得当前输入块的运动矢量(MV)。 在B帧中,可以执行投射ME和镜ME两者以获得当前输入块的MV。 用于确定在搜索路径中找到的每对MV0和MV1的度量的度量,其中度量基于第一,第二和第三度量的组合。 第一度量基于时间帧相关,第二度量基于参考块的空间邻居,并且第三度量基于当前块的空间邻居。