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    • 1. 发明授权
    • Inter-layer motion prediction method using resampling
    • 使用重采样的层间运动预测方法
    • US08446956B2
    • 2013-05-21
    • US12087349
    • 2006-12-18
    • Edouard FrançoisVincent BottreauPatrick LopezJérôme VieronYing Chen
    • Edouard FrançoisVincent BottreauPatrick LopezJérôme VieronYing Chen
    • H04N7/12
    • H04N19/57H04N19/16H04N19/187H04N19/31H04N19/33H04N19/52
    • The invention relates to a method for generating for at least one macroblock of a high resolution image at least one motion predictor from motion data associated to macroblock(s) of a low resolution image. The method comprises the following steps: —defining a virtual structure made up of non overlapping macroblocks, called virtual base layer macroblocks; —identifying for the high resolution macroblock corresponding virtual base layer macroblocks in the virtual image on the basis of the location of the high resolution macroblock within the high resolution image and on the basis of the ratios of low resolution and high resolution images dimensions; —deriving, for each identified virtual base layer macroblocks, motion data from motion data associated to at least one macroblock of a corresponding low resolution macroblocks pair on the basis of the field/frame mode of the corresponding low resolution macroblocks pair and on the basis of the field/frame mode of the high resolution macroblock; —resampling motion data associated to the corresponding virtual base layer macroblocks so as to generate the at least one motion predictor.
    • 本发明涉及一种用于从与低分辨率图像的宏块相关联的运动数据生成高分辨率图像至少一个运动预测器的方法。 该方法包括以下步骤: - 定义由非重叠宏块组成的虚拟结构,称为虚拟基本层宏块; - 基于高分辨率图像内的高分辨率宏块的位置,并且基于低分辨率和高分辨率图像尺寸的比率来识别虚拟图像中的高分辨率宏块对应的虚拟基本层宏块; 根据相应的低分辨率宏块对的场/帧模式,根据相应的低分辨率宏块对对应于与相应的低分辨率宏块对的至少一个宏块相关联的运动数据,为每个识别的虚拟基本层宏块提供运动数据,并且基于 高分辨率宏块的场/帧模式; - 与相应的虚拟基本层宏块相关联的取样运动数据,以便生成所述至少一个运动预测器。
    • 4. 发明申请
    • Inter-Layer Motion Prediction Method
    • 层间运动预测方法
    • US20090225846A1
    • 2009-09-10
    • US12087349
    • 2006-12-18
    • Edouard FrancoisVincent BottreauPatrick LopezJérome VieronYing Chen
    • Edouard FrancoisVincent BottreauPatrick LopezJérome VieronYing Chen
    • H04N7/26
    • H04N19/57H04N19/16H04N19/187H04N19/31H04N19/33H04N19/52
    • The invention relates to a method for generating for at least one macroblock of a high resolution image at least one motion predictor from motion data associated to macroblock(s) of a low resolution image. The method comprises the following steps: —defining a virtual structure made up of non overlapping macroblocks, called virtual base layer macroblocks; —identifying for the high resolution macroblock corresponding virtual base layer macroblocks in the virtual image on the basis of the location of the high resolution macroblock within the high resolution image and on the basis of the ratios of low resolution and high resolution images dimensions; —deriving, for each identified virtual base layer macroblocks, motion data from motion data associated to at least one macroblock of a corresponding low resolution macroblocks pair on the basis of the field/frame mode of the corresponding low resolution macroblocks pair and on the basis of the field/frame mode of the high resolution macroblock; —resampling motion data associated to the corresponding virtual base layer macroblocks so as to generate the at least one motion predictor.
    • 本发明涉及一种用于从与低分辨率图像的宏块相关联的运动数据生成高分辨率图像至少一个运动预测器的方法。 该方法包括以下步骤: - 定义由非重叠宏块组成的虚拟结构,称为虚拟基本层宏块; - 基于高分辨率图像内的高分辨率宏块的位置,并且基于低分辨率和高分辨率图像尺寸的比率来识别虚拟图像中的高分辨率宏块对应的虚拟基本层宏块; 根据相应的低分辨率宏块对的场/帧模式,根据相应的低分辨率宏块对对应于与相应的低分辨率宏块对的至少一个宏块相关联的运动数据,为每个识别的虚拟基本层宏块提供运动数据,并且基于 高分辨率宏块的场/帧模式; - 与相应的虚拟基本层宏块相关联的取样运动数据,以便生成所述至少一个运动预测器。