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1. 发明授权

US08666177B2 Texture-pattern-adaptive partitioned block transform 有权
标题翻译：纹理图案自适应分割块变换
公开(公告)号：US08666177B2
公开(公告)日：2014-03-04
申请号：US13511547
申请日：2009-12-04
申请人： Zhi Bo Chen , Xiao Zhong Xu , Qu Qing Chen
发明人： Zhi Bo Chen , Xiao Zhong Xu , Qu Qing Chen
IPC分类号： G06K9/36 , G06K9/46
CPC分类号： H04N19/14 , H04N19/119 , H04N19/122 , H04N19/176 , H04N19/46
摘要： The invention is related to encoding an image block of an image using a partitioned block transform. The inventors recognized that applying a texture-pattern associated invertible mapping to the pixels of a first partition, said first partition resulting from partitioning said image block according to a current texture pattern with which said texture-pattern associated invertible mapping is associated, allows for limiting the maximum number of required first 1-D transforms to not exceeding a number of columns in the image block as well as limiting the maximum number of required second 1-D transforms to not exceeding a number of rows in the image block, also. Achieving limitation of maximum required 1-D transforms enables more efficient implementation on hardware and improves encoding performance but also allows for further partitions according to texture patterns which comprise at least one of multiple strips, texture patterns with highly unsymmetrical pixel distribution and non-directional texture patterns.
摘要翻译：本发明涉及使用分区块变换对图像的图像块进行编码。发明人认识到，将纹理图案相关的可逆映射应用于第一分区的像素，所述第一分区是根据与所述纹理图案相关联的可逆映射相关联的当前纹理图案对所述图像块进行分区而产生的，允许限制所需的第一个1-D的最大数量变换为不超过图像块中的列数，并且将所需的第二个1-D变换的最大数量限制为不超过图像块中的行数。实现最大需要的1-D变换的限制使得能够在硬件上更有效地实现并提高编码性能，并且还允许根据包括多个条纹，纹理图案和非定向纹理模式。

2. 发明授权

US08385654B2 Salience estimation for object-based visual attention model 有权
标题翻译：基于对象视觉注意模型的显着性估计
公开(公告)号：US08385654B2
公开(公告)日：2013-02-26
申请号：US12226386
申请日：2007-04-27
申请人： Xiao Dong Gu , Zhi Bo Chen , Qu Qing Chen
发明人： Xiao Dong Gu , Zhi Bo Chen , Qu Qing Chen
IPC分类号： G06K9/46 , G06K9/34 , G06K9/00
CPC分类号： G06K9/4671 , G06K9/4628 , G06T7/11
摘要： The present invention provides a salience estimation method for object-based visual attention model. The method comprises steps of segmenting the image into a plurality of objects to be estimated, extracting feature maps for each segmented object, calculating the saliences of each segmented object in a set of circles defined around a center pixel of the object based on the extracted feature maps, and integrating the saliences of each segmented object in all circles in order to achieve an overall salience estimation for each segmented object. The present invention is much more human vision inosculated and of low computing complexity.
摘要翻译：本发明提供了一种用于基于对象的视觉注意力模型的显着性估计方法。该方法包括以下步骤：将图像分割成要估计的多个对象，提取每个分割对象的特征图，基于所提取的特征来计算围绕对象的中心像素定义的一组圆圈中的每个分割对象的色调映射，以及将所有分段对象的细节整合到所有圆形中，以实现对每个分段对象的整体显着性估计。本发明是更加人性化的视觉和低计算复杂性。

3. 发明授权

US08179961B2 Method and apparatus for adapting a default encoding of a digital video signal during a scene change period 有权
标题翻译：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
公开(公告)号：US08179961B2
公开(公告)日：2012-05-15
申请号：US12309336
申请日：2006-07-17
申请人： Zhi Bo Chen , Xiao Dong Gu , Li Hua Zhu , Qu Qing Chen
发明人： Zhi Bo Chen , Xiao Dong Gu , Li Hua Zhu , Qu Qing Chen
IPC分类号： H04N7/26 , H04N11/04
CPC分类号： H04N19/577 , H04N19/115 , H04N19/142 , H04N19/152 , H04N19/17 , H04N19/179 , H04N19/61 , H04N19/87
摘要： 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.
摘要翻译：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。

4. 发明申请

US20120075302A1 METHOD FOR ENCODING/DECODING A 3D MESH MODEL THAT COMPRISES ONE OR MORE COMPONENTS 有权
标题翻译：用于编码/解码包含一个或多个组件的3D网格模型的方法
公开(公告)号：US20120075302A1
公开(公告)日：2012-03-29
申请号：US13376604
申请日：2010-06-09
申请人： Kang Ying Cai , Qu Qing Chen , Jun Teng
发明人： Kang Ying Cai , Qu Qing Chen , Jun Teng
IPC分类号： G06T17/00
CPC分类号： G06T9/001 , G06T9/004
摘要： 3D mesh models are represented by three types of data: connectivity data, geometry data and property data. The surface of a 3D object is a triangle mesh. 3D meshes contain huge amounts of data that need to be compressed efficiently. Additionally to the common world coordinate system for the complete model and local coordinate system for a single triangle, an individual component coordinate system for each connected component is used. The component coordinate system is used to normalize the orientation of the respective component for quantization and de-quantization. This improves the accuracy of encoded 3D mesh models after quantization/de-quantization, particularly if a 3D mesh model comprises one or more distinct components.
摘要翻译： 3D网格模型由三种类型的数据表示：连接数据，几何数据和属性数据。 3D对象的表面是三角形网格。 3D网格包含大量需要高效压缩的数据。除了用于单个三角形的完整模型和局部坐标系的公共世界坐标系之外，还使用每个连接分量的单个分量坐标系。分量坐标系用于归一化用于量化和去量化的各个分量的取向。这提高了量化/去量化之后的编码3D网格模型的精度，特别是如果3D网格模型包括一个或多个不同的分量。

5. 发明申请

US20110285708A1 METHOD AND APPARATUS FOR ENCODING 3D MESH MODELS, AND METHOD AND APPARATUS FOR DECODING ENCODED 3D MESH MODELS 有权
标题翻译：用于编码3D网格模型的方法和装置，以及用于解码编码的3D网格模型的方法和装置
公开(公告)号：US20110285708A1
公开(公告)日：2011-11-24
申请号：US13138297
申请日：2010-02-05
申请人： Qu Qing Chen , Kang Ying Cai , Jun Teng
发明人： Qu Qing Chen , Kang Ying Cai , Jun Teng
IPC分类号： G06T17/20
CPC分类号： G06T9/001 , G06T9/004
摘要： 3D mesh models are widely used in various applications for representing 3D objects. These models are made of vertices and corresponding triangles, which can be compressed based on prediction and residuals. The present invention improves the accuracy of parallelogram prediction, particularly near sharp features. The proposed 3D mesh model encoding comprises analyzing the spatial or dihedral angles between triangles, clustering triangles with similar or equal dihedral angles, and defining a representative dihedral angle for each cluster. Triangles of each cluster are then encoded relative to individual prediction triangles having the representative dihedral angle according to the cluster. Additionally, the prediction triangle may be mirrored. An indication of the encoding mode is inserted into each vertex of the encoded bitstream. A decoder extracts the encoding mode indication, reconstructs the individual prediction triangles based on the respective representative dihedral angles and performs triangle prediction and reconstruction.
摘要翻译： 3D网格模型广泛用于表示3D对象的各种应用中。这些模型由顶点和相应的三角形组成，可以根据预测和残差进行压缩。本发明提高了平行四边形预测的精度，特别是在尖锐特征附近。所提出的3D网格模型编码包括分析三角形之间的空间或二面角，具有相似或相等二面角的聚类三角形，并为每个簇定义代表性的二面角。然后，针对根据簇的具有代表性的二面角的各个预测三角形对每个簇的三角形进行编码。另外，可以镜像预测三角形。将编码模式的指示插入编码比特流的每个顶点。解码器提取编码模式指示，基于相应的代表性二面角重建各个预测三角形，并执行三角形预测和重构。

6. 发明申请

US20110158323A1 METHOD FOR LOSSLESS COMPRESSING PREFIX-SUFFIX-CODES, METHOD FOR DECOMPRESSING A BIT SEQUENCE REPRESENTING INTEGERS OR SYMBOLS ENCODED IN COMPRESSED PREFIX-SUFFIX-CODES AND STORAGE MEDIUM OR SIGNAL CARRYING COMPRESSED PREFIX-SUFFIX-CODES 审中-公开
标题翻译：用于无损压缩前缀码的方法，用于分解表示在压缩前缀码和存储介质中编码的整数或符号的比特序列的方法或携带压缩前缀码的信号
公开(公告)号：US20110158323A1
公开(公告)日：2011-06-30
申请号：US12737969
申请日：2009-08-31
申请人： Qu Qing Chen , Ji Cheng An , Zhi Bo Chen , Jun Teng
发明人： Qu Qing Chen , Ji Cheng An , Zhi Bo Chen , Jun Teng
IPC分类号： H04B1/66 , H04N7/26 , G06K9/36
CPC分类号： H03M7/40
摘要： The invention is related to lossless compression of prefix-suffix-codes wherein a prefix comprises unary code, and to corresponding decompression. The method for lossless compressing prefix-suffix-codes comprises the steps of forming a first contiguous bit sequence from the prefixes, and lossless compressing the first contiguous bit sequence by removing redundancy related to the difference between the first value's frequency in the first contiguous bit sequence and the second value's frequency in the first contiguous bit sequence. Bit values are unevenly distributed in the prefixes while distribution of bit values in the suffixes is more even. Therefore, better compression is achievable if the prefixes are compressed separately.
摘要翻译：本发明涉及前缀 - 后缀码的无损压缩，其中前缀包括一元码，并且与相应的解压缩相关。用于无损压缩前缀 - 后缀码的方法包括从前缀形成第一连续比特序列的步骤，并且通过去除与第一连续比特序列中的第一值的频率之间的差异相关的冗余来对第一连续比特序列进行无损压缩以及第一个连续比特序列中的第二个值的频率。位值不均匀分布在前缀中，而后缀中的位值分布更均匀。因此，如果前缀被单独压缩，则可以实现更好的压缩。

7. 发明申请

US20110134995A1 VIDEO CODING WITH CODING OF THE LOCATIONS OF SIGNIFICANT COEFFICIENTS IN A BLOCK OF COEFFICIENTS 审中-公开
标题翻译：编码系统中重要系数位置的视频编码
公开(公告)号：US20110134995A1
公开(公告)日：2011-06-09
申请号：US12737724
申请日：2009-08-07
申请人： Ji Cheng An , Qu Qing Chen , Zhi Bo Chen , Jun Teng
发明人： Ji Cheng An , Qu Qing Chen , Zhi Bo Chen , Jun Teng
IPC分类号： H04N7/12
CPC分类号： H04N19/176 , H04N19/103 , H04N19/149 , H04N19/15 , H04N19/18 , H04N19/194 , H04N19/91 , H04N19/93
摘要： In known image compression, following quantisation, a very sparse distribution of significant (i.e. non-zero) amplitude coefficients of the transformed image signal may be obtained while most quantised coefficients are zeros. A costly task for a transform-based image compression in terms of resulting overall data rate is to record the locations of such significant coefficients within the coding blocks. In quartation processing, a ‘significant square’ (containing at least one non-zero amplitude coefficient in the coefficient block) is recursively divided into four smaller squares until single significant coefficients are reached, and the significance statuses of all generated squares are encoded. However, for some distribution patterns encoding the x-y-coordinates of the significant coefficients as binary numbers will lead to less coding cost. According to the invention, at least four different pattern determination or encoding modes are checked, and the encoding side selects the least costly one of these modes and transfers the corresponding mode information to the decoding side for corresponding decoding.
摘要翻译：在已知的图像压缩中，在量化之后，可以获得变换图像信号的显着（即非零）振幅系数的非常稀疏的分布，而大多数量化的系数是零。在所得到的总体数据速率方面，用于基于变换的图像压缩的昂贵任务是记录这些重要系数在编码块内的位置。在四次分组处理中，将“显着平方”（包含系数块中的至少一个非零幅度系数）递归地划分为四个较小的正方形，直到达到单个有效系数，并且编码所有生成的正方形的显着状态。然而，对于将有效系数的x-y坐标编码为二进制数的一些分布模式将导致较少的编码成本。根据本发明，检查至少四种不同的图案确定或编码模式，并且编码方选择这些模式中最便宜的一种模式，并将相应的模式信息传送到解码端用于相应的解码。

8. 发明申请

US20100194610A1 Method and device for encoding a bit sequence 有权
标题翻译：用于编码位序列的方法和设备
公开(公告)号：US20100194610A1
公开(公告)日：2010-08-05
申请号：US12657246
申请日：2010-01-15
申请人： Qu Qing Chen , Zhi Bo Chen , Kang Ying Cai , Jun Teng
发明人： Qu Qing Chen , Zhi Bo Chen , Kang Ying Cai , Jun Teng
IPC分类号： H03M7/00
CPC分类号： H03M7/40
摘要： The invention is related to a method and a device for encoding of a bit sequence.Said method comprises generating, for each run of Ones comprised in the bit sequence, a unary representation of length of the respective run of Ones, generating a first sequence by concatenating the generated unary representations of lengths of runs of Ones, generating, for each run of Zeroes comprised in the bit sequence, a unary representation of the length of the respective run of Zeroes, generating a second sequence by concatenating the generated unary representations of lengths of runs of Zeroes, and bit plane encoding the generated first and second sequence of unary representations.In most cases, overall entropy of bit planes of unary representations of run lengths is smaller than entropy of the bit sequence. Thus, more compact encoding can be achieved.
摘要翻译：本发明涉及一种用于编码比特序列的方法和装置。所述方法包括为包含在比特序列中的每个游程生成Ones的相应运行的长度的一元表示，通过连接Ones的运行长度的所生成的一元表示来生成第一序列，为每个运行生成包括在比特序列中的零的一元表示，相应的零运行的长度的一元表示，通过连接产生的零的运行长度的所生成的一元表示以及生成的第一和第二序列的位平面编码生成第二序列表示在大多数情况下，游程长度的一元表示的位平面的总熵小于比特序列的熵。因此，可以实现更紧凑的编码。

9. 发明申请

US20100183069A1 Method and Apparatus for Determining in Picture Signal Encoding the Bit Allocation for Groups of Pixel Blocks in a Picture 有权
标题翻译：用于确定编码图像中像素块组的位分配的图像信号的方法和装置
公开(公告)号：US20100183069A1
公开(公告)日：2010-07-22
申请号：US12224080
申请日：2007-02-16
申请人： Zhi Bo Chen , Xiao Dong Gu , Qu Qing Chen
发明人： Zhi Bo Chen , Xiao Dong Gu , Qu Qing Chen
IPC分类号： H04N7/12
CPC分类号： H04N19/192 , H04N19/124 , H04N19/147 , H04N19/149 , H04N19/17 , H04N19/176 , H04N19/19 , H04N19/61
摘要： Optimised bit allocation is important in video compression to increase the coding efficiency, i.e. to make optimum use of the available data rate. In view of the human visual system, a human usually pays more attention to some part of a picture rather than to other parts of that picture. Therefore the bit allocation should be optimised for different-attention picture areas (GOBi). The inventive distortion-driven bit allocation scheme allocates the coding/decoding error distortion to picture areas consistently with the human visual system, and satisfies the constraint of bit rate as well. The invention uses a distortion/bitrate/rhoquantisation parameter histogram analysis. Based on corresponding tables (DGOBi[QPn], RGOBi[QPn] and ρGOBi[QPn]), the relationships between quantisation parameter, rate, distortion and percentage of non-zero coefficients for the different-attention areas are determined (PREALUTI, DISALL, RALL). Thereafter a rho-domain bit rate control is used (RDBALL) for calculating the bit allocation inside each group of macroblocks.
摘要翻译：优化的比特分配在视频压缩中是重要的，以增加编码效率，即最佳地利用可用的数据速率。鉴于人类视觉系统，人类通常会更多地关注图片的某些部分，而不是照片的其他部分。因此，应该针对不同的注意图像区域（GOBi）优化位分配。本发明的失真驱动比特分配方案将编码/解码误差失真与人类视觉系统一致地分配给图像区域，并且也满足比特率的约束。本发明使用失真/比特率/量化参数直方图分析。基于相应的表（DGOBi [QPn]，RGOBi [QPn]和＆rgr; GOBi [QPn]），确定不同注意区域的量化参数，速率，失真和非零系数百分比之间的关系（PREALUTI， DISALL，RALL）。此后，使用rho域比特率控制（RDBALL）来计算每组宏块内的比特分配。

10. 发明申请

US20090060267A1 SALIENCE ESTIMATION FOR OBJECT-BASED VISUAL ATTENTION MODEL 有权
标题翻译：基于目标的视觉注意模型的估计
公开(公告)号：US20090060267A1
公开(公告)日：2009-03-05
申请号：US12226386
申请日：2007-04-27
申请人： Xiao Dong Gu , Zhi Bo Chen , Qu Qing Chen
发明人： Xiao Dong Gu , Zhi Bo Chen , Qu Qing Chen
IPC分类号： G06K9/00
CPC分类号： G06K9/4671 , G06K9/4628 , G06T7/11
摘要： The present invention provides a salience estimation method for object-based visual attention model. The method comprises steps of segmenting the image into a plurality of objects to be estimated, extracting feature maps for each segmented object, calculating the saliences of each segmented object in a set of circles defined around a centre pixel of the object based on the extracted feature maps, and integrating the saliences of each segmented object in all circles in order to achieve an overall salience estimation for each segmented object. The present invention is much more human vision inosculated and of low computing complexity.
摘要翻译：本发明提供了一种用于基于对象的视觉注意力模型的显着性估计方法。该方法包括以下步骤：将图像分割成要估计的多个对象，提取每个分割对象的特征图，基于所提取的特征来计算围绕对象的中心像素定义的一组圆圈中的每个分割对象的色调映射，以及将所有分段对象的细节整合到所有圆形中，以实现对每个分段对象的整体显着性估计。本发明是更加人性化的视觉和低计算复杂性。

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