Simplifications on disparity vector derivation and motion vector prediction in 3D video coding
    283.
    发明授权
    Simplifications on disparity vector derivation and motion vector prediction in 3D video coding 有权
    简化3D视频编码中的视差向量导出和运动矢量预测

    公开(公告)号:US09596448B2

    公开(公告)日:2017-03-14

    申请号:US14215876

    申请日:2014-03-17

    CPC classification number: H04N13/161 H04N19/597

    Abstract: A video coder can be configured to perform texture first coding for a first texture view, a first depth view, a second texture view, and a second depth view; for a macroblock of the second texture view, locate a depth block of the first depth view that corresponds to the macroblock; based on at least one depth value of the depth block, derive a disparity vector for the macroblock; code a first sub-block of the macroblock based on the derived disparity vector; and, code a second sub-block of the macroblock based on the derived disparity vector.

    Abstract translation: 视频编码器可以被配置为对第一纹理视图,第一深度视图,第二纹理视图和第二深度视图执行纹理第一编码; 对于第二纹理视图的宏块,定位与宏块对应的第一深度视图的深度块; 基于所述深度块的至少一个深度值,导出所述宏块的视差向量; 基于导出的视差矢量对宏块的第一子块进行编码; 并且基于导出的视差矢量对该宏块的第二子块进行编码。

    Disparity vector prediction in video coding
    284.
    发明授权
    Disparity vector prediction in video coding 有权
    视频编码中的视差矢量预测

    公开(公告)号:US09525861B2

    公开(公告)日:2016-12-20

    申请号:US13798997

    申请日:2013-03-13

    Abstract: Techniques are described for determining a disparity vector for a current block based on disparity motion vectors of one or more spatially and temporally neighboring regions to a current block to be predicted. The spatially and temporally neighboring regions include one or a plurality of blocks, and the disparity motion vector represents a single vector in one reference picture list for the plurality of blocks within the spatially or temporally neighboring region. The determined disparity vector could be used to coding tools which utilize the information between different views such as merge mode, advanced motion vector prediction (AMVP) mode, inter-view motion prediction, and inter-view residual prediction.

    Abstract translation: 描述了基于一个或多个空间和时间上相邻区域与要预测的当前块的视差运动矢量来确定当前块的视差矢量的技术。 空间和时间上相邻的区域包括一个或多个块,并且视差运动矢量表示在空间或时间上相邻区域内的多个块的一个参考图像列表中的单个向量。 确定的视差向量可以用于利用诸如合并模式,高级运动矢量预测(AMVP)模式,视角间运动预测和视角间残差预测的不同视图之间的信息的编码工具。

    MOTION VECTOR DERIVATION IN VIDEO CODING
    285.
    发明申请
    MOTION VECTOR DERIVATION IN VIDEO CODING 审中-公开
    运动矢量在视频编码中的衍生

    公开(公告)号:US20160286229A1

    公开(公告)日:2016-09-29

    申请号:US15080478

    申请日:2016-03-24

    Abstract: In an example, a method of processing video data includes determining a candidate motion vector for deriving motion information of a current block of video data, where the motion information indicates motion of the current block relative to reference video data. The method also includes determining a derived motion vector for the current block based on the determined candidate motion vector, where determining the derived motion vector comprises performing a motion search for a first set of reference data that corresponds to a second set of reference data outside of the current block.

    Abstract translation: 在一个示例中,处理视频数据的方法包括:确定用于导出当前视频数据块的运动信息的候选运动矢量,其中运动信息指示当前块相对于参考视频数据的运动。 该方法还包括基于所确定的候选运动矢量确定当前块的导出运动矢量,其中确定导出的运动矢量包括对与第二组参考数据相对应的参考数据的第一组执行运动搜索 当前块。

    SUB-PREDICTION UNIT BASED ADVANCED TEMPORAL MOTION VECTOR PREDICTION
    287.
    发明申请
    SUB-PREDICTION UNIT BASED ADVANCED TEMPORAL MOTION VECTOR PREDICTION 审中-公开
    基于预测单元的高级时运动矢量预测

    公开(公告)号:US20160219278A1

    公开(公告)日:2016-07-28

    申请号:US15005564

    申请日:2016-01-25

    Abstract: In one example, a device for coding video data includes a memory configured to store video data and a video coder configured to form, for a current block of the video data, a merge candidate list including a plurality of merge candidates, the plurality of merge candidates including four spatial neighboring candidates from four neighboring blocks to the current block and, immediately following the four spatial neighboring candidates, an advanced temporal motion vector prediction (ATMVP) candidate, code an index into the merge candidate list that identifies a merge candidate of the plurality of merge candidates in the merge candidate list, and code the current block of video data using motion information of the identified merge candidate.

    Abstract translation: 在一个示例中,用于编码视频数据的设备包括被配置为存储视频数据的存储器和视频编码器,视频编码器被配置为为视频数据的当前块形成包括多个合并候选的合并候选列表,多个合并 包括从四个相邻块到当前块的四个空间相邻候选的候选,并且紧跟在四个空间相邻候选之后的高级时间运动矢量预测(ATMVP)候选,将合并候选列表中的索引编码到合并候选列表中, 合并候选列表中的多个合并候选,并且使用所识别的合并候选的运动信息对当前的视频数据块进行编码。

    CONTEXTS FOR LARGE CODING TREE UNITS
    288.
    发明申请
    CONTEXTS FOR LARGE CODING TREE UNITS 有权
    大型编码树木单位的情况

    公开(公告)号:US20160219276A1

    公开(公告)日:2016-07-28

    申请号:US15007060

    申请日:2016-01-26

    CPC classification number: H04N19/13 H04N19/119 H04N19/196 H04N19/96

    Abstract: In an example, a method of coding video data may include selecting, as part of an entropy coding process, a context for a syntax element associated with a current coding unit (CU) based on information relating to CU depth of one or more neighboring CUs relative to the current CU. The syntax element may represent whether the current CU is split into sub-CUs. The method may include entropy coding the syntax element based on the selected context.

    Abstract translation: 在一个示例中,视频数据的编码方法可以包括:基于与一个或多个相邻CU的CU深度相关的信息,作为熵编码处理的一部分,选择与当前编码单元(CU)相关联的语法元素的上下文 相对于当前CU。 语法元素可以表示当前CU是否被分割成子CU。 该方法可以包括基于所选择的上下文对语法元素进行熵编码。

    Advanced merge/skip mode and advanced motion vector prediction (AMVP) mode for 3D video
    289.
    发明授权
    Advanced merge/skip mode and advanced motion vector prediction (AMVP) mode for 3D video 有权
    高级合并/跳过模式和3D视频的高级运动矢量预测(AMVP)模式

    公开(公告)号:US09357214B2

    公开(公告)日:2016-05-31

    申请号:US14098151

    申请日:2013-12-05

    CPC classification number: H04N19/52 H04N19/103 H04N19/597

    Abstract: Techniques are described where if an inter-view predicted motion vector candidate (IPMVC) and an inter-view disparity motion vector candidate (IDMVC) are derived based on a shifted disparity vector, where the amount by which the disparity vector is shifted for the IPMVC and IDMVC is different. The techniques also prioritize the inclusion of the IPMVC over the IDMVC in a candidate list, and prune the IPMVC and the IDMVC if there is a duplicated IPMVC or IDMVC in the candidate list.

    Abstract translation: 描述技术,其中如果基于移动的视差矢量导出视角间预测运动矢量候选(IPMVC)和视角间视差运动矢量候选(IDMVC),其中视差矢量对于IPMVC移位的量 和IDMVC是不同的。 这些技术还优先考虑IPMVC在候选列表中的IDMVC,并且如果候选列表中存在复制的IPMVC或IDMVC,则修剪IPMVC和IDMVC。

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