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21.发明授权Adaptive entropy coding for images and videos using set partitioning in generalized hierarchical trees 有权使用广义分层树中的集分割对图像和视频进行自适应熵编码公开(公告)号：US08406546B2
公开(公告)日：2013-03-26
申请号：US12758981
申请日：2010-04-13
IPC分类号： G06K9/36
CPC分类号： H04N19/96 , H04N19/119 , H04N19/46 , H04N19/50 , H04N19/61 , H04N19/625 , H04N19/63 , H04N19/647 , H04N19/85
摘要： Adaptive entropy encoding and decoding utilizing set partitioning within generalized hierarchical trees which is applicable to both embedded and non-embedded encoding. After decorrelation and quantization during encoding, a tree structure is selected from multiple candidates, based on geometric relationships within the image block, for coding the coefficients toward improving coefficient zero clustering. The tree structure has leaf and non-leaf nodes in a specified arrangement, with leaf nodes containing coefficients associated with each non-leaf node. By proper tree selection, the number of zero clustered coefficients which may be eliminated from the encoded output stream is increased. During decoding, a tree structure compatible with the encoding for the current block is used for decoding the existing coefficients from the symbol stream and restoring missing zero coefficients.
摘要翻译： 利用适用于嵌入式和非嵌入式编码的广义分层树中的集合分割的自适应熵编码和解码。 在编码中进行解相关和量化之后，基于图像块内的几何关系从多个候选中选择树结构，用于对系数进行编码以改进系数零聚类。 树结构具有指定布置的叶子和非叶节点，叶节点包含与每个非叶节点相关联的系数。 通过适当的树选择，可以从编码的输出流中消除的零聚集系数的数量增加。 在解码期间，与当前块的编码兼容的树结构被用于从符号流解码现有系数并恢复丢失的零系数。
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公开(公告)号：US08306322B2
公开(公告)日：2012-11-06
申请号：US12873059
申请日：2010-08-31
CPC分类号： H04N1/646
摘要： A method of and system for encoding high definition video content using embedded graphics coding is described. The method determines if the video content includes an RGB or YUV444 color format or a YUV422 color format. If the color scheme includes RGB or YCbCr444 data and separate encoding is used, then all three color components are encoded separately using scalar EGC. If the color scheme includes RGB or YCbCr444 data and joint encoding is used, then all three color components are jointly encoded using joint scalar EGC. If the color scheme includes YCbCr422 data and separate encoding is used, then Y, U and V are encoded separately using scalar EGC. If the color scheme includes YCbCr422 data and joint encoding is used, then Y is encoded by itself using scalar EGC and U and V are jointly encoded using joint scalar EGC.
摘要翻译： 描述了使用嵌入式图形编码对高清晰度视频内容进行编码的方法和系统。 该方法确定视频内容是否包含RGB或YUV444颜色格式或YUV422颜色格式。 如果颜色方案包括RGB或YCbCr444数据，并使用单独的编码，则所有三个颜色分量都使用标量EGC分开编码。 如果颜色方案包括RGB或YCbCr444数据，并使用联合编码，则所有三个颜色分量都使用联合标量EGC联合编码。 如果颜色方案包含YCbCr422数据，并使用单独的编码，则Y，U和V使用标量EGC分别进行编码。 如果颜色方案包含YCbCr422数据并使用联合编码，则Y使用标量EGC自身编码，U和V使用联合标量EGC共同编码。
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公开(公告)号：US20120183234A1
公开(公告)日：2012-07-19
申请号：US13287797
申请日：2011-11-02
IPC分类号： G06T9/00
CPC分类号： H04N19/88 , H03M7/4031 , H03M7/6023 , H03M7/6076 , H04N19/129 , H04N19/167 , H04N19/176 , H04N19/184 , H04N19/436 , H04N19/593 , H04N19/91
摘要： Bi-directional bitstream ordering is able to be used for expedited processing. The first part of the bitstream is coded in a standard format, but the end of the bitstream is coded in reverse order. In encoding and decoding, parallel processing is able to be implemented to provide more efficient (parallel and hence faster) encoding and decoding where a bitstream is separated and processed in parallel.
摘要翻译： 双向比特流排序能够用于加速处理。 比特流的第一部分以标准格式编码，但比特流的结尾以相反的顺序进行编码。 在编码和解码中，并行处理能够被实现以提供更高效（并行和因此更快的）编码和解码，其中比特流被并行地分离和处理。
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24.发明申请ADAPTIVE ENTROPY CODING FOR IMAGES AND VIDEOS USING SET PARTITIONING IN GENERALIZED HIERARCHICAL TREES 有权用于图像和视频的自适应熵编码使用在一般分层中设置分割公开(公告)号：US20100310185A1
公开(公告)日：2010-12-09
申请号：US12758981
申请日：2010-04-13
IPC分类号： G06K9/46
CPC分类号： H04N19/96 , H04N19/119 , H04N19/46 , H04N19/50 , H04N19/61 , H04N19/625 , H04N19/63 , H04N19/647 , H04N19/85
摘要： Adaptive entropy encoding and decoding utilizing set partitioning within generalized hierarchical trees which is applicable to both embedded and non-embedded encoding. After decorrelation and quantization during encoding, a tree structure is selected from multiple candidates, based on geometric relationships within the image block, for coding the coefficients toward improving coefficient zero clustering. The tree structure has leaf and non-leaf nodes in a specified arrangement, with leaf nodes containing coefficients associated with each non-leaf node. By proper tree selection, the number of zero clustered coefficients which may be eliminated from the encoded output stream is increased. During decoding, a tree structure compatible with the encoding for the current block is used for decoding the existing coefficients from the symbol stream and restoring missing zero coefficients.
摘要翻译： 利用适用于嵌入式和非嵌入式编码的广义分层树中的集合分割的自适应熵编码和解码。 在编码中进行解相关和量化之后，基于图像块内的几何关系从多个候选中选择树结构，用于对系数进行编码以改进系数零聚类。 树结构具有指定布置的叶子和非叶节点，叶节点包含与每个非叶节点相关联的系数。 通过适当的树选择，可以从编码的输出流中消除的零聚集系数的数量增加。 在解码期间，与当前块的编码兼容的树结构被用于从符号流解码现有系数并恢复丢失的零系数。
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25.发明授权Dual-mode compression of images and videos for reliable real-time transmission 有权图像和视频的双模式压缩可靠的实时传输公开(公告)号：US08964851B2
公开(公告)日：2015-02-24
申请号：US12792408
申请日：2010-06-02
摘要： Dual-mode compression of images/videos for reliable real-time transmission includes a scalable block-based video compression. The method provides graceful quality degradations in case of channel bandwidth changes. Prediction for encoding is avoided, and the process is less complex with less memory requirements. The method involves processing each block independently with the advantage that errors are not able to propagate beyond current block boundaries. Two different encoding modes are used, natural image coding for acquired images and graphics coding for computer generated images. The proper encoding mode is chosen by comparing performance of the two modes for a particular block to be encoded. An embedded bitstream is generated by the encoder in accordance to the available channel bandwidth.
摘要翻译： 用于可靠实时传输的图像/视频的双模式压缩包括可扩展的基于块的视频压缩。 该方法在频道带宽变化的情况下提供优雅的质量下降。 避免编码的预测，并且该过程不太复杂，存储器要求较少。 该方法包括独立地处理每个块，其优点是错误不能传播超出当前块边界。 使用两种不同的编码模式，采集图像的自然图像编码和计算机生成的图像的图形编码。 通过比较要编码的特定块的两种模式的性能来选择适当的编码模式。 嵌入式比特流由编码器根据可用信道带宽生成。
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公开(公告)号：US08457425B2
公开(公告)日：2013-06-04
申请号：US12795210
申请日：2010-06-07
IPC分类号： G06K9/46
CPC分类号： G06T9/00 , H04N19/647
摘要： Processes for compressing images with sparse histograms are disclosed. The image is divided into blocks, and a bit budget is assigned for each block. The pixels of a block are converted and coded bit-plane by bit-plane, starting from the Most Significant Bit (MSB) and going towards the Least Significant Bit (LSB). The pixels of the block are partitioned into groups. Each group contains pixels that have same value. Moving from the MSB to the LSB, the groups in each bit-plane are processed. When processing a group, the encoder sends a “0” if all group members have same bit value at the current bit-plane being processed, followed by the bit value; otherwise, the encoder sends a “1”, followed by refinement bits for each pixel of the group, and the encoder splits the group.
摘要翻译： 公开了用稀疏直方图压缩图像的过程。 图像被划分为块，并且为每个块分配比特预算。 通过比特平面，从最高有效位（MSB）开始并转到最低有效位（LSB），块的像素被转换和编码位平面。 块的像素被划分成组。 每个组包含具有相同值的像素。 从MSB移动到LSB，每个位平面中的组被处理。 当处理组时，如果所有组成员在正在处理的当前位平面上具有相同的位值，则编码器发送“0”，后跟位值; 否则，编码器发送“1”，然后对该组的每个像素进行细化比特，编码器分组。
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公开(公告)号：US08285062B2
公开(公告)日：2012-10-09
申请号：US12837364
申请日：2010-07-15
CPC分类号： H04N19/184 , H04N19/176 , H04N19/647 , H04N19/91
摘要： Embedded Graphics Coding (EGC) is used to encode images with sparse histograms. In EGC, an image is divided into blocks of pixels. For each block, the pixels are converted into binary representations. For each block, the pixels are scanned and encoded bit-plane by bit-plane from the most significant bit-plane (MSB) to the least significant bit-plane (LSB). The pixels in the block are partitioned into groups. Each group contains pixels with the same value. From the MSB to the LSB, the groups in the current bit plane are processed. During the processing, a group is split into two, if pixels in the group have different bit values in the bit-plane being encoded. Then, the encoder sends the refinement bit for each pixel in the group and the encoder splits the original group into two. A method is described herein to compress the refinement bits which employs context-adaptive prediction and binary run-length coding.
摘要翻译： 嵌入式图形编码（EGC）用于对具有稀疏直方图的图像进行编码。 在EGC中，图像被划分成像素块。 对于每个块，像素被转换成二进制表示。 对于每个块，像素通过位平面从最高有效位平面（MSB）到最低有效位平面（LSB）进行位平面扫描和编码。 块中的像素被划分成组。 每个组包含具有相同值的像素。 从MSB到LSB，处理当前位平面中的组。 在处理期间，如果组中的像素在被编码的位平面中具有不同的位值，则将组分成两个。 然后，编码器发送组中每个像素的细化位，编码器将原始组分成两组。 这里描述了一种用于压缩采用上下文自适应预测和二进制游程编码的细化比特的方法。
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28.发明申请TREES FOR ADAPTIVE CODING OF IMAGES AND VIDEOS USING SET PARTITIONING IN GENERALIZED HIERARCHICAL TREES HAVING DIRECTIONALITY 失效用于自适应编码图像和视频的条件使用在具有方向性的通用分层中设置分割公开(公告)号：US20100310186A1
公开(公告)日：2010-12-09
申请号：US12796651
申请日：2010-06-08
CPC分类号： H04N19/64 , H04N19/119 , H04N19/122 , H04N19/129 , H04N19/146 , H04N19/176 , H04N19/18 , H04N19/60
摘要： Adaptive entropy encoding and decoding which utilizes Set Partitioning within Generalized Hierarchical Trees (SPRIGHT) and a method of designing trees utilizing directionality. After decorrelation and quantization a tree structure is selected from multiple candidates, based on geometric relationships within the image block, for coding the coefficients toward improving zero-clustering of coefficients. Trees for the SPRIGHT encoding are created in response to finding frequency position of each coefficient and scaling frequency position followed by use of octave-band partitioning of coefficient patterns into squares and L-shapes, and the L-shapes are iteratively partitioned into squares. The tree comprises leaf nodes containing coefficients associated with each non-leaf node. The number of zero clustered coefficients can be increased, thus decreasing the number of nodes coded into the encoded image output.
摘要翻译： 在广义分层树（SPRIGHT）中利用集分割的自适应熵编码和解码，以及利用方向性设计树的方法。 在去相关和量化之后，基于图像块内的几何关系从多个候选中选择树结构，用于对系数进行编码以改进系数的零聚类。 响应于找到每个系数的频率位置和缩放频率位置，随后使用系数图案的八度带分割成正方形和L形，创建SPRIGHT编码的树，并且将L形重复地划分为正方形。 该树包括包含与每个非叶节点相关联的系数的叶节点。 可以增加零聚集系数的数量，从而减少编码为编码图像输出的节点数。
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公开(公告)号：US20100310169A1
公开(公告)日：2010-12-09
申请号：US12795210
申请日：2010-06-07
CPC分类号： G06T9/00 , H04N19/647
摘要： Processes for compressing images with sparse histograms are disclosed. The image is divided into blocks, and a bit budget is assigned for each block. The pixels of a block are converted and coded bit-plane by bit-plane, starting from the Most Significant Bit (MSB) and going towards the Least Significant Bit (LSB). The pixels of the block are partitioned into groups. Each group contains pixels that have same value. Moving from the MSB to the LSB, the groups in each bit-plane are processed. When processing a group, the encoder sends a “0” if all group members have same bit value at the current bit-plane being processed, followed by the bit value; otherwise, the encoder sends a “1”, followed by refinement bits for each pixel of the group, and the encoder splits the group.
摘要翻译： 公开了用稀疏直方图压缩图像的过程。 图像被划分为块，并且为每个块分配比特预算。 通过比特平面，从最高有效位（MSB）开始并转到最低有效位（LSB），块的像素被转换和编码位平面。 块的像素被划分成组。 每个组包含具有相同值的像素。 从MSB移动到LSB，每个位平面中的组被处理。 当处理组时，如果所有组成员在正在处理的当前位平面上具有相同的位值，则编码器发送“0”，后跟位值; 否则，编码器发送“1”，然后对该组的每个像素进行细化比特，编码器分组。
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30.发明申请METHOD AND APPARATUS FOR HIERARCHICAL BI-DIRECTIONAL INTRA-PREDICTION IN A VIDEO ENCODER 有权视频编码器中分层双向预测的方法与装置公开(公告)号：US20100246672A1
公开(公告)日：2010-09-30
申请号：US12415901
申请日：2009-03-31
IPC分类号： H04N7/32
CPC分类号： H04N19/593 , H04N19/105 , H04N19/176 , H04N19/46 , H04N19/61
摘要： Method and apparatus for hierarchical bi-directional intra-prediction in a video encoder is described. In some examples, initial reference blocks are selected in an image. Sets of blocks in the image are predicted successively over a plurality of stages based on a respectively plurality of templates, each of the plurality of templates including reference blocks selected from at least one of: the initial reference blocks; or previously encoded and reconstructed blocks of the image. The image is encoded in the video encoder using the initial reference blocks and the sets of blocks as predicted.
摘要翻译： 描述了视频编码器中分级双向帧内预测的方法和装置。 在一些示例中，在图像中选择初始参考块。 基于分别多个模板，在多个级中连续地预测图像中的块的集合，所述多个模板中的每一个包括从以下各项中的至少一个中选择的参考块：初始参考块; 或先前编码和重构的图像块。 图像在视频编码器中使用初始参考块和预测的块组进行编码。
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