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    • 31. 发明申请
    • Method and apparatus for adapting a default encoding of a digital video signal during a scene change period
    • 用于在场景变化期间适应数字视频信号的默认编码的方法和装置
    • US20090175330A1
    • 2009-07-09
    • US12309336
    • 2006-07-17
    • Zhi Bo ChenXiao Dong GuLi Hua ZhuQu Qing Chen
    • Zhi Bo ChenXiao Dong GuLi Hua ZhuQu Qing Chen
    • H04N7/26
    • H04N19/577H04N19/115H04N19/142H04N19/152H04N19/17H04N19/179H04N19/61H04N19/87
    • The frame following a scene cut is usually coded as an I picture. In CBR encoding, the encoder will try to keep the bit rate constant, which will often cause serious picture quality degradation at scene changes. In VBR encoding, more bits will be allocated to the first frame of the new scene and the bit rate will increase significantly for a short time. Therefore subsequent frames must be coded in ‘skipped’ mode, which will often cause jerk artifacts. According to the invention, in each frame belonging to a scene change period, areas are determined that have different human attention levels. In the frames (n−1, n−2, n−3) located prior to the first new scene frame, to the areas having a lower attention level less bits are assigned than in the default encoding, and in the frames (n, n+1, n+2) located at and after the scene cut the thus saved bits are additionally assigned to the areas having a higher attention level.
    • 场景切割后的帧通常被编码为I图像。 在CBR编码中,编码器将尝试保持比特率恒定,这将导致场景变化导致严重的图像质量下降。 在VBR编码中,更多位将被分配给新场景的第一帧,并且比特率将在短时间内显着增加。 因此,后续帧必须以“跳过”模式进行编码,这通常会引起抖动伪像。 根据本发明,在属于场景变化期间的每个帧中,确定具有不同人的注意力水平的区域。 在位于第一新场景帧之前的帧(n-1,n-2,n-3)中,对于具有较低注意力级别的区域,比在默认编码中分配较少的位,并且在帧(n, n + 1,n + 2)被分配给具有较高关注度的区域。
    • 34. 发明授权
    • Method for encoding normals of a 3D mesh model, method for decoding normals of a 3D mesh model, encoder and decoder
    • 用于编码3D网格模型的法线的方法,用于解码3D网格模型的法线,编码器和解码器的方法
    • US09214042B2
    • 2015-12-15
    • US13575228
    • 2010-01-25
    • Kang Ying CaiWei Wei LiZhi Bo Chen
    • Kang Ying CaiWei Wei LiZhi Bo Chen
    • G06T17/00G06T17/20G06T9/00G06T15/50
    • G06T9/001G06T9/004G06T9/008G06T15/50G06T17/20G06T17/205
    • A method for encoding vertex orientations, also known as normal components, of a 3D mesh model comprises a first clustering of the normal components, determining for each of the first clusters a sphere sector to which most of its elements belong, mapping normal components to a predefined sector, re-clustering the normal components in the predefined sector into second clusters, determining predictors for the second clusters and encoding a normal component by its residual, a reference to its predictor and data indicating which of said mirror mapping operations were performed. A sphere sector is obtained by dividing a sphere into m equal spherical segments and dividing each of said spherical segments into n equal sectors. The first clustering for the sector mapping and the second clustering for predictive coding result in an improved compression ratio.
    • 用于编码3D网格模型的顶点取向(也称为正常分量)的方法包括正常分量的第一聚类,为每个第一簇确定其大多数元素所属的球面扇区,将正常分量映射到 将预定义扇区中的正常分量重新聚类成第二簇,确定第二簇的预测变量并通过其残差对正态分量进行编码,对其预测器的引用以及指示执行所述镜像映射操作的数据。 通过将球划分成m个相等的球形段并将每个所述球形段划分成n个相等的扇区来获得球面扇形。 用于扇区映射的第一聚类和用于预测编码的第二聚类导致改进的压缩比。
    • 35. 发明授权
    • Method for predicting a lost or damaged block of an enhanced spatial layer frame and SVC-decoder adapted therefore
    • 因此,用于预测增强空间层帧和SVC解码器的丢失或损坏块的方法
    • US08831102B2
    • 2014-09-09
    • US12460960
    • 2009-07-27
    • Zhi Jin XiaZhi Bo ChenYu Wen Wu
    • Zhi Jin XiaZhi Bo ChenYu Wen Wu
    • H04N7/12H04N7/50H04N7/26H04N7/68
    • H04N19/00781H04N19/176H04N19/33H04N19/61H04N19/80H04N19/86H04N19/895
    • The invention is related to prediction of a lost or damaged block of an enhanced spatial layer frame.A method for predicting a lost or damaged block of an enhanced spatial layer frame comprises the steps of determining an adjuvant frame in the enhanced spatial layer by help of reference information from a lower spatial layer frame corresponding said enhanced spatial layer frame, generating an information reduced block by help of said adjuvant frame and predicting the lost or damaged block by help of the information reduced block.The reference information of the corresponding lower spatial layer frame can be decoded independently from any lower spatial layer reference frame and the adjuvant enhanced spatial layer frame is already decoded. Thus, the computational effort is reduced. By generation of the information reduced block the prediction is made smoother which makes it less vivid and therefore less salient to a user.
    • 本发明涉及增强空间层框架的丢失或损坏块的预测。 一种用于预测增强空间层帧的丢失或损坏的块的方法包括以下步骤:借助来自对应于所述增强空间层帧的较低空间层帧的参考信息来确定增强空间层中的辅助帧,生成减少的信息 通过所述辅助帧的帮助来阻止并且通过信息减少块的帮助来预测丢失或损坏的块。 相应的较低空间层帧的参考信息可以独立于任何较低空间层参考帧进行解码,并且辅助增强空间层帧已被解码。 因此,减少了计算量。 通过生成信息减少块,使预测变得更平滑,这使得它不那么生动,因此对于用户来说不那么显着。
    • 40. 发明申请
    • METHOD FOR SAMPLING MESH MODELS AND APPARATUS FOR SAMPLING MESH MODELS
    • 采样网格模型的方法和采样MESH模型的设备
    • US20130173225A1
    • 2013-07-04
    • US13503712
    • 2011-04-29
    • Kang Ying CaiWei Wei LiZhi Bo Chen
    • Kang Ying CaiWei Wei LiZhi Bo Chen
    • G06F17/50
    • G06F17/50G06F17/5018G06T9/001
    • Common 2D or 3D mesh models comprise redundancy in the form of symmetries, such as repetitive structures. For complexity reduction, the redundant structures must be detected. An improved method for sampling mesh models comprises sampling the model (710) using an initial sampling step size, detecting (720) a representative of a repeating structure, instances of the repeating structure and a remainder of the model, and sampling (780) the remainder and the representative using a first reduced sampling level according to a first reduced sampling step to size. The method comprises detecting (730) a size of said representative of a repeating structure, a size of the instances of the repeating structure and a size of said remainder, and calculating (740) the first reduced sampling step size based on the size of the instance and the total size of the model. The method can be repeated recursively.
    • 常见的2D或3D网格模型包括对称形式的冗余,例如重复结构。 为了降低复杂度,必须检测冗余结构。 用于采样网格模型的改进方法包括使用初始采样步长对模型(710)进行采样,检测(720)重复结构的代表,重复结构的实例和模型的剩余部分,以及采样(780) 并且所述代表使用根据第一缩减采样步骤来缩小尺寸的第一降低抽样水平。 该方法包括检测(730)所述代表重复结构的大小,重复结构的实例的大小和所述剩余部分的大小,以及基于所述重复结构的大小来计算(740)第一缩减采样步长 实例和模型的总大小。 该方法可以递归地重复。