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    • 32. 发明申请
    • CODING OF TRANSFORM COEFFICIENTS FOR VIDEO CODING
    • 用于视频编码的变换系数编码
    • US20130058407A1
    • 2013-03-07
    • US13565621
    • 2012-08-02
    • Joel Sole RojalsRajan Laxman JoshiMarta Karczewicz
    • Joel Sole RojalsRajan Laxman JoshiMarta Karczewicz
    • H04N7/30H04N7/50
    • H04N19/13H04N19/129H04N19/157H04N19/18H04N19/184H04N19/436H04N19/60H04N19/61H04N19/91
    • This disclosure describes coding transform coefficients associated with a block of residual video data in a video coding process. Aspects of this disclosure include the selection of a scan order for both significance map coding and level coding, as well as the selection of contexts for entropy coding consistent with the selected scan order. This disclosure proposes a harmonization of the scan order to code both the significance map of the transform coefficients as well as to code the levels of the transform coefficient. It is proposed that the scan order for the significance map should be in the inverse direction (i.e., from the higher frequencies to the lower frequencies). This disclosure also proposes that transform coefficients be scanned in sub-sets as opposed to fixed sub-blocks. In particular, transform coefficients are scanned in a sub-set consisting of a number of consecutive coefficients according to the scan order.
    • 本公开描述了在视频编码过程中与残留视频数据块相关联的编码变换系数。 本公开的方面包括选择重要性地图编码和级别编码的扫描顺序,以及与所选择的扫描顺序一致的用于熵编码的上下文的选择。 本公开提出了对扫描顺序进行协调以编码变换系数的重要性图以及对变换系数的等级进行编码。 提出,显着图的扫描顺序应该在相反方向(即,从较高频率到较低频率)。 本公开还提出了与固定子块相反的子集中的变换系数的扫描。 具体地,根据扫描顺序,在由多个连续系数组成的子集中扫描变换系数。
    • 36. 发明申请
    • ZERO-OUT OF HIGH FREQUENCY COEFFICIENTS AND ENTROPY CODING RETAINED COEFFICIENTS USING A JOINT CONTEXT MODEL
    • 使用联合语境模型对高频系数和熵编码保留系数进行归零
    • US20120082231A1
    • 2012-04-05
    • US13249020
    • 2011-09-29
    • Joel Sole RojalsRajan L. JoshiMarta Karczewicz
    • Joel Sole RojalsRajan L. JoshiMarta Karczewicz
    • H04N7/30
    • H04N19/13H04N19/132H04N19/14H04N19/146H04N19/149H04N19/176H04N19/18H04N19/60H04N19/625H04N19/64H04N19/91
    • This disclosure describes techniques for performing entropy encoding and decoding of video coefficients using a joint context model shared between transform units having different sizes. For example, the joint context model may be shared between transform units having a first size of 32×32 and transform units having a second size of 16×16. Performing entropy coding using a joint context model shared between transform units having different sizes may reduce an amount of memory necessary to store contexts and probabilities, and reduce computational costs of maintaining context models. In one example, the joint context model may be shared between transform units having the first size with coefficients zeroed out to generate a retained coefficient block having the second size and transform units having the second size. In another example, the joint context model may be shared between transform units having the first size and transform units having the second size.
    • 本公开描述了使用在具有不同大小的变换单元之间共享的联合上下文模型来执行视频系数的熵编码和解码的技术。 例如,联合上下文模型可以在第一大小为32×32的变换单元和具有第二大小16×16的变换单元之间共享。 使用具有不同大小的变换单元之间共享的联合上下文模型执行熵编码可以减少存储上下文和概率所需的存储量,并且减少维护上下文模型的计算成本。 在一个示例中,联合上下文模型可以在具有第一尺寸的系数被清零以产生具有第二尺寸的保留系数块和具有第二尺寸的变换单元之间的变换单元之间共享。 在另一示例中,联合上下文模型可以在具有第一尺寸的变换单元和具有第二尺寸的变换单元之间共享。
    • 38. 发明申请
    • QUANTIZED PULSE CODE MODULATION IN VIDEO CODING
    • 视频编码中的量化脉冲编码调制
    • US20120224640A1
    • 2012-09-06
    • US13362928
    • 2012-01-31
    • Joel Sole RojalsMarta Karczewicz
    • Joel Sole RojalsMarta Karczewicz
    • H04N7/30
    • H04N19/124H04N19/176
    • A quantized PCM mode includes the step of quantizing samples so that distortion is added to coded video. In this way, video blocks coded with quantized PCM appear more uniformly with adjacent video blocks that have been coded with other lossy compression techniques, such as inter-prediction coding or intra-prediction coding. A video encoder may first quantize input video samples with a quantization step prior to PCM coding the quantized samples. This quantization step may be signaled to a decoder in the encoded video bitstream. A video decoder may receive the encoded video bitstream that includes quantized PCM coded video samples. These samples are first decoded using pulse code demodulation and then are inverse quantized with the same quantization step used to encode the video. The video decoder may extract this quantization step from the output bit-depth in the encoded video bitstream.
    • 量化PCM模式包括量化样本的步骤,使得失真被添加到编码视频。 以这种方式,用量化PCM编码的视频块与使用其他有损压缩技术(例如帧间预测编码或帧内预测编码)一起编码的相邻视频块更均匀地出现。 视频编码器可以在PCM编码量化样本之前,先用量化步长量化输入视频样本。 该量化步骤可以被发送到编码视频比特流中的解码器。 视频解码器可以接收包括经量化的PCM编码视频样本的编码视频比特流。 首先使用脉冲解码解码这些样本,然后用与编码视频相同的量化步长进行逆量化。 视频解码器可以从编码视频位流中的输出位深度提取该量化步长。
    • 39. 发明授权
    • Entropy coding coefficients using a joint context model
    • 使用联合上下文模型的熵编码系数
    • US08913666B2
    • 2014-12-16
    • US13249079
    • 2011-09-29
    • Joel Sole RojalsRajan L. JoshiMarta Karczewicz
    • Joel Sole RojalsRajan L. JoshiMarta Karczewicz
    • H04N11/04H04N19/13H04N19/176H04N19/14H04N19/146H04N19/91H04N19/132H04N19/18
    • H04N19/13H04N19/132H04N19/14H04N19/146H04N19/149H04N19/176H04N19/18H04N19/60H04N19/625H04N19/64H04N19/91
    • This disclosure describes techniques for performing entropy encoding and decoding of video coefficients using a joint context model shared between transform units having different sizes. For example, the joint context model may be shared between transform units having a first size of 32×32 and transform units having a second size of 16×16. Performing entropy coding using a joint context model shared between transform units having different sizes may reduce an amount of memory necessary to store contexts and probabilities, and reduce computational costs of maintaining context models. In one example, the joint context model may be shared between transform units having the first size with coefficients zeroed out to generate a retained coefficient block having the second size and transform units having the second size. In another example, the joint context model may be shared between transform units having the first size and transform units having the second size.
    • 本公开描述了使用在具有不同大小的变换单元之间共享的联合上下文模型来执行视频系数的熵编码和解码的技术。 例如,联合上下文模型可以在具有32×32的第一大小的变换单元和具有第二大小16×16的变换单元之间共享。 使用具有不同大小的变换单元之间共享的联合上下文模型执行熵编码可以减少存储上下文和概率所需的存储量,并且减少维护上下文模型的计算成本。 在一个示例中,联合上下文模型可以在具有第一尺寸的系数被清零以产生具有第二尺寸的保留系数块和具有第二尺寸的变换单元之间的变换单元之间共享。 在另一示例中,联合上下文模型可以在具有第一尺寸的变换单元和具有第二尺寸的变换单元之间共享。