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    • 2. 发明授权
    • Method and apparatus for derivation of spatial motion vector candidate and motion vector prediction candidate
    • 用于导出空间运动矢量候选和运动矢量预测候选的方法和装置
    • US08755437B2
    • 2014-06-17
    • US13177808
    • 2011-07-07
    • Jian-Liang LinYi-Wen ChenYu-Pao TsaiYu-Wen HuangShaw-Min Lei
    • Jian-Liang LinYi-Wen ChenYu-Pao TsaiYu-Wen HuangShaw-Min Lei
    • H04N7/28
    • H04N19/513H04N19/52
    • An apparatus and method for deriving a motion vector predictor are disclosed. In video coding systems, the spatial and temporal redundancy is exploited using spatial and temporal prediction to reduce the information to be transmitted or stored. Motion vector prediction has been used to further conserve the bitrate associated with motion vector coding. In a conventional coding system, a motion vector predictor (MVP) is selected from the spatial MVPs and temporal MVP. The spatial MVP according to a conventional approach is based on motion vectors (MVs) of neighboring blocking pointing to a target reference picture in a given reference list. Embodiments according to the present invention perform the MVP search among an extended search set including MVs pointing to other reference pictures in the given reference list or the other reference list and MVs pointing to the target reference picture in the given reference list or the other reference list. Other aspects of the present invention address the search order of the search set and configuration of neighboring blocks.
    • 公开了一种用于导出运动矢量预测器的装置和方法。 在视频编码系统中,使用空间和时间预测来利用空间和时间冗余来减少要发送或存储的信息。 运动矢量预测已被用于进一步节省与运动矢量编码相关的比特率。 在常规编码系统中,从空间MVP和时间MVP中选择运动矢量预测器(MVP)。 根据常规方法的空间MVP基于指向给定参考列表中的目标参考图片的相邻块的运动矢量(MV)。 根据本发明的实施例在包括指定给定参考列表中的其他参考图片的MV的扩展搜索集或另一参考列表中的MVP搜索和指向给定参考列表或另一参考列表中的目标参考图片的MV 。 本发明的其它方面解决了搜索集的搜索顺序和相邻块的配置。
    • 4. 发明申请
    • Method and Apparatus of Spatial Motion Vector Prediction
    • 空间运动矢量预测的方法与装置
    • US20120128060A1
    • 2012-05-24
    • US13047600
    • 2011-03-14
    • Jian-Liang LinYu-Pao TsaiYu-Wen HuangShaw-Min Lei
    • Jian-Liang LinYu-Pao TsaiYu-Wen HuangShaw-Min Lei
    • H04N7/26H04N7/32
    • H04N19/00696H04N19/573H04N19/577
    • An apparatus and method for deriving a motion vector predictor or a motion vector predictor candidate or a motion vector or a motion vector candidate for a current block are disclosed. In video coding systems, the spatial and temporal redundancy is exploited using spatial and temporal prediction to reduce the information to be transmitted or stored. Motion Vector Prediction (MVP) has been used to further conserve the bitrate associated with motion vector coding. The MVP technique being developed for the current HEVC only considers the motion vector having the same reference list and the same reference picture index as the current block to be an available spatial motion vector predictor candidate. It is desirable to develop a MVP scheme that can improve the availability of the motion vector predictor candidate based on motion vectors from the spatially neighboring block. Accordingly, an apparatus and method for determining a motion vector predictor or motion vector predictor candidate or motion vector or motion vector candidate for a current block based on motion vectors associated with reference pictures in list 0 and list 1 of a neighboring block are disclosed. The improved MVP scheme may reduce motion vector residues and consequently the coding efficiency can be improved. Furthermore, the MVP scheme is based on a priority order so that the predictor can be derived at the decoder using decoded information without side information.
    • 公开了一种用于导出运动矢量预测器或运动矢量预测器候选或用于当前块的运动矢量或运动矢量候选的装置和方法。 在视频编码系统中,使用空间和时间预测来利用空间和时间冗余来减少要发送或存储的信息。 运动矢量预测(MVP)已被用于进一步节省与运动矢量编码相关的比特率。 针对当前HEVC开发的MVP技术仅考虑具有与当前块相同的参考列表和相同参考图像索引的运动矢量作为可用的空间运动矢量预测器候选。 期望开发可以基于来自空间相邻块的运动矢量来提高运动矢量预测器候选的可用性的MVP方案。 因此,公开了一种用于基于与相邻块的列表0和列表1中的参考图片相关联的运动矢量来确定当前块的运动矢量预测器或运动矢量预测器候选或运动矢量或运动矢量候选的装置和方法。 改进的MVP方案可以减少运动矢量残差,从而可以提高编码效率。 此外,MVP方案基于优先级顺序,使得可以在解码器处使用没有副信息的解码信息来导出预测器。
    • 5. 发明申请
    • METHOD FOR PERFORMING HYBRID MULTIHYPOTHESIS PREDICTION DURING VIDEO CODING OF A CODING UNIT, AND ASSOCIATED APPARATUS
    • 在编码单元的视频编码期间执行混合多媒体预测的方法及相关设备
    • US20120063514A1
    • 2012-03-15
    • US13048893
    • 2011-03-16
    • Jian-Liang LinYu-Pao TsaiShaw-Min Lei
    • Jian-Liang LinYu-Pao TsaiShaw-Min Lei
    • H04N7/32
    • H04N19/00715H04N19/54H04N19/547H04N19/56H04N19/573H04N19/58H04N19/70
    • A method for performing hybrid multihypothesis prediction during video coding of a coding unit includes: processing a plurality of sub-coding units in the coding unit; and performing motion vector derivation of a portion of the sub-coding units. More particularly, the step of performing motion vector derivation of the portion of the sub-coding units further includes: deriving a plurality of motion vectors for multihypothesis motion-compensated prediction of a specific sub-coding unit of the portion of the sub-coding units from at least one other sub-coding/coding unit or by performing motion estimation. The method further includes performing multihypothesis motion-compensated prediction on the specific sub-coding unit according to the plurality of motion vectors, and more particularly, includes utilizing a linear combination of a plurality of pixel values derived from the plurality of motion vectors as a predicted pixel value of the specific sub-coding unit. An associated apparatus is also provided.
    • 一种用于在编码单元的视频编码期间执行混合多重假设预测的方法包括:在编码单元中处理多个子编码单元; 以及执行子编码单元的一部分的运动矢量导出。 更具体地,执行子编码单元的部分的运动矢量导出的步骤还包括:导出用于子编码单元的一部分的特定子编码单元的多假设运动补偿预测的多个运动矢量 从至少一个其他子编码/编码单元或通过执行运动估计。 该方法还包括根据多个运动矢量对特定子编码单元执行多重假设运动补偿预测,更具体地,包括利用从多个运动矢量导出的多个像素值的线性组合作为预测 特定子编码单元的像素值。 还提供了一种相关联的装置。
    • 6. 发明申请
    • METHOD FOR PERFORMING LOCALIZED MULTIHYPOTHESIS PREDICTION DURING VIDEO CODING OF A CODING UNIT, AND ASSOCIATED APPARATUS
    • 在编码单元的视频编码期间执行本地化多媒体预测的方法及相关设备
    • US20110255600A1
    • 2011-10-20
    • US13080668
    • 2011-04-06
    • Jian-Liang LinYu-Pao TsaiShaw-Min Lei
    • Jian-Liang LinYu-Pao TsaiShaw-Min Lei
    • H04N7/12
    • H04N19/139H04N19/513H04N19/52H04N19/56
    • A method for performing localized multihypothesis prediction during video coding of a coding unit includes: dividing the coding unit into a plurality of sub-coding units; and performing motion vector prediction of each of the sub-coding units. More particularly, the step of performing motion vector prediction of each of the sub-coding units further includes: obtaining a plurality of motion vectors for multihypothesis motion compensation of a specific sub-coding unit of the sub-coding units from a plurality of other sub-coding/coding units. The method further includes performing multihypothesis motion compensation on the specific sub-coding unit according to the plurality of motion vectors, and more particularly, includes utilizing a linear combination of a plurality of pixel values of the plurality of other sub-coding/coding units as a predicted pixel value of the specific sub-coding unit. An associated apparatus is also provided.
    • 一种用于在编码单元的视频编码期间执行局部多重假设预测的方法包括:将编码单元划分为多个子编码单元; 以及对每个子编码单元进行运动矢量预测。 更具体地,执行每个子编码单元的运动矢量预测的步骤还包括:从多个其他子级获得多个子编码单元的特定子编码单元的多假设运动补偿的运动矢量 编码/编码单元。 该方法还包括根据多个运动矢量对特定子编码单元执行多重假设运动补偿,更具体地,包括利用多个其他子编码/编码单元的多个像素值的线性组合作为 特定子编码单元的预测像素值。 还提供了一种相关联的装置。
    • 7. 发明授权
    • Method and apparatus for derivation of motion vector candidate and motion vector prediction candidate
    • 用于推导运动矢量候选和运动矢量预测候选的方法和装置
    • US09307239B2
    • 2016-04-05
    • US13990345
    • 2012-03-13
    • Jian-Liang LinYi-Wen ChenYu-Pao TsaiYu-Wen HuangShaw-Min Lei
    • Jian-Liang LinYi-Wen ChenYu-Pao TsaiYu-Wen HuangShaw-Min Lei
    • H04N11/04H04N19/56H04N19/52
    • H04N19/52H04N19/533H04N19/56
    • An apparatus and method for deriving a motion vector predictor are disclosed. A search set comprising of multiple (spatial, or temporal) search MVs with priority is determined, wherein the search MVs for multiple neighboring reference block or one or more co-located reference blocks are configured into multiple search MV groups. In order to improve coding efficiency, embodiments according to the present invention, perform redundancy check every time after a search MV group is searched to determine whether an available search MV found. If an available search MV is found and the available search MV is not the same as a previously derived motion vector predictor (MVP), the available search MV is used as the MVP and the MVP derivation process terminates. Otherwise, the MVP derivation process moves to the next reference block. The search MV group can be configured to include different search MV(s) associated with reference blocks.
    • 公开了一种用于导出运动矢量预测器的装置和方法。 确定包括具有优先级的多个(空间或时间)搜索MV的搜索集,其中多个相邻参考块或一个或多个同位置参考块的搜索MV被配置为多个搜索MV组。 为了提高编码效率,根据本发明的实施例,在搜索MV组被搜索之后每次执行冗余校验以确定是否找到可用的搜索MV。 如果找到可用的搜索MV并且可用的搜索MV与先前导出的运动向量预测器(MVP)不相同,那么使用可用的搜索MV作为MVP并且MVP导出处理终止。 否则,MVP导出过程移动到下一个参考块。 搜索MV组可以被配置为包括与参考块相关联的不同搜索MV。
    • 9. 发明授权
    • Method and apparatus for foreground object detection
    • 用于前景对象检测的方法和装置
    • US08873852B2
    • 2014-10-28
    • US13248242
    • 2011-09-29
    • Tao ZhangYu-Pao Tsai
    • Tao ZhangYu-Pao Tsai
    • G06K9/34G06K9/00G06T7/00
    • G06T7/0081G06T7/11G06T7/143G06T7/194G06T2207/10028
    • The present invention utilizes depth images captured by a depth camera to detect foreground/background. The method comprises establishing a single background distribution model, updating the background distribution model if a new depth value for the pixel can be represented by the background distribution model, skipping update of the background distribution model if the pixel is before the background, and replacing the background distribution model if the pixel is behind the background. In case that the background distribution model does not exist initially, a new background distribution model is created. The fluctuation of the depth value due to noise is handled by using a candidate background distribution model. Furthermore, the noise for pixels around object edges is handled by using a mixture of two background distribution models.
    • 本发明利用深度相机拍摄的深度图像来检测前景/背景。 该方法包括建立单个背景分布模型,如果用于像素的新的深度值可以由背景分布模型表示,则跳过背景分布模型,如果像素在背景之前跳过背景分布模型的更新,则更新背景分布模型 背景分布模型如果像素背后的背景。 在背景分布模型最初不存在的情况下,将创建一个新的背景分布模型。 通过使用候选背景分布模型来处理由噪声引起的深度值的波动。 此外,通过使用两个背景分布模型的混合来处理对象边缘周围的像素的噪声。
    • 10. 发明申请
    • METHODS FOR INPUT-OUTPUT CALIBRATION AND IMAGE RENDERING
    • 输入输出校准和图像渲染方法
    • US20130249864A1
    • 2013-09-26
    • US13426604
    • 2012-03-22
    • Chi-Ling WuYu-Pao TsaiChia-Ping ChenYu-Ting Chen
    • Chi-Ling WuYu-Pao TsaiChia-Ping ChenYu-Ting Chen
    • G06F3/042
    • G06F3/0418G06F3/042
    • One of the embodiments of the invention provides an input-output calibration method performed by a processing unit connected to an output device and an input device. The output device and the input device correspond to an output device coordinate system and an input device coordinate system, respectively. The processing unit first derives M calibration points' coordinates in the input device coordinate system by using the input device to sense a viewer specifying the M calibration points' positions, wherein M is a positive integer. Then, the processing unit uses the M calibration points' coordinates in the output device coordinate system and coordinates in the input device coordinate system to derive the relationship between the output device coordinate system and the input device coordinate system.
    • 本发明的一个实施例提供了一种由连接到输出设备和输入设备的处理单元执行的输入 - 输出校准方法。 输出装置和输入装置分别对应于输出装置坐标系和输入装置坐标系。 处理单元首先通过使用输入装置来感测指定M个校准点位置的观察者来导出输入装置坐标系中的M个校准点的坐标,其中M是正整数。 然后,处理单元使用输出装置坐标系中的M个校准点的坐标和输入装置坐标系中的坐标来导出输出装置坐标系和输入装置坐标系之间的关系。