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    • 1. 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。
    • 2. 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。
    • 4. 发明申请
    • ENTROPY CODING COEFFICIENTS USING A JOINT CONTEXT MODEL
    • 使用联合语境模型的熵编码系数
    • US20120082232A1
    • 2012-04-05
    • US13249079
    • 2011-09-29
    • Joel Sole RojalsRajan L. JoshiMarta Karczewicz
    • Joel Sole RojalsRajan L. JoshiMarta Karczewicz
    • H04N7/12
    • 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。
    • 6. 发明授权
    • 16-point transform for media data coding
    • 用于媒体数据编码的16点变换
    • US09081733B2
    • 2015-07-14
    • US12820346
    • 2010-06-22
    • Yuriy ReznikRajan L. JoshiMarta Karczewicz
    • Yuriy ReznikRajan L. JoshiMarta Karczewicz
    • H04N7/12H04N11/02G06F17/14
    • G06F17/147H04N19/42H04N19/61H04N19/625
    • In general, techniques are described for implementing a 16-point inverse discrete cosine transform (IDCT) that is capable of applying multiple IDCTs of different sizes. For example, an apparatus comprising a 16-point inverse discrete cosine transform of type II (IDCT-II) unit may implement the techniques of this disclosure. The 16-point IDCT-II unit performs these IDCTs-II of different sizes to transform data from a spatial to a frequency domain. The 16-point IDCT-II unit includes an 8-point IDCT-II unit that performs one of the IDCTs-II of size 8 and a first 4-point IDCT-II unit that performs one of the IDCTs-II of size 4. The 8-point IDCT-II unit includes the first 4-point DCT-II unit. The 16-point IDCT-II unit also comprises an inverse 8-point DCT-IV unit that includes a second 4-point IDCT-II unit and a third 4-point IDCT-II unit. Each of the second and third 4-point IDCT-II units performs one of the IDCTs-II of size 4.
    • 一般来说,描述了实现能够应用不同大小的多个IDCT的16点离散余弦变换(IDCT)的技术。 例如,包括II型(IDCT-II)单元的16点逆离散余弦变换的装置可以实现本公开的技术。 16点IDCT-II单元执行不同尺寸的这些IDCT-II以将数据从空间变换到频域。 16点IDCT-II单元包括执行尺寸为8的IDCT-II之一的8点IDCT-II单元和执行大小为4的IDCT-II之一的第一个4点IDCT-II单元。 8点IDCT-II单元包括第一个4点DCT-II单元。 16点IDCT-II单元还包括具有第二4点IDCT-II单元和第三个4点IDCT-II单元的逆8点DCT-IV单元。 第二和第三4点IDCT-II单元中的每一个执行大小为4的IDCT-II之一。
    • 7. 发明授权
    • Video coding based on first order prediction and pre-defined second order prediction mode
    • 基于一阶预测和预定义二阶预测模式的视频编码
    • US08665964B2
    • 2014-03-04
    • US12495613
    • 2009-06-30
    • Rajan L. JoshiPeisong ChenMarta Karczewicz
    • Rajan L. JoshiPeisong ChenMarta Karczewicz
    • H04N7/18
    • H04N19/567H04N19/102H04N19/105H04N19/109H04N19/11H04N19/147H04N19/176H04N19/61
    • This disclosure describes video encoding and decoding techniques in which a first order prediction process and a second order prediction process are used in combination to generate predictive video blocks for video coding. First order prediction may be similar to conventional motion estimation and motion compensation that generates residual video blocks. The second order prediction may involve a process similar to conventional intra-prediction, but is performed on the residual video blocks. The techniques of this disclosure may pre-define the second order prediction to a specific mode, such as a mode similar to the intra-DC mode used in intra coding. In addition, the techniques of this disclosure may combine aspects of the first order and second order prediction into a single process so that the effects of second order prediction on the residuals are taken into account during the first order prediction process, which may improve compression.
    • 本公开描述了视频编码和解码技术,其中组合使用一阶预测处理和二阶预测处理以产生用于视频编码的预测视频块。 第一阶预测可以类似于产生残余视频块的常规运动估计和运动补偿。 二阶预测可以涉及与常规帧内预测类似的处理,但是对剩余视频块执行。 本公开的技术可以预定义到特定模式的二阶预测,例如类似于帧内编码中使用的DC内模式的模式。 此外,本公开的技术可以将一阶和二阶预测的方面组合成单个过程,使得在第一阶预测过程期间考虑二阶预测对残差的影响,这可以改善压缩。
    • 8. 发明申请
    • 8-POINT TRANSFORM FOR MEDIA DATA CODING
    • 用于媒体数据编码的8点变换
    • US20100329329A1
    • 2010-12-30
    • US12820312
    • 2010-06-22
    • Yuriy ReznikRajan L. JoshiMarta Karczewicz
    • Yuriy ReznikRajan L. JoshiMarta Karczewicz
    • H04N7/12
    • H04N19/625G06F17/147H04N19/60
    • In general, techniques are described for implementing an 8-point inverse discrete cosine transform (IDCT). An apparatus comprising an 8-point inverse discrete cosine transform (IDCT) hardware unit may implement these techniques to transform media data from a frequency domain to a spatial domain. The 8-point IDCT hardware unit includes an even portion comprising factors A, B that are related to a first scaled factor (μ) in accordance with a first relationship. The 8-point IDCT hardware unit also includes an odd portion comprising third, fourth, fifth and sixth internal factors (G, D, E, Z) that are related to a second scaled factor (η) in accordance with a second relationship. The first relationship relates the first scaled factor to the first and second internal factors. The second relationship relates the second scaled factor to the third, fourth, fifth and sixth internal factors.
    • 通常,描述了用于实现8点逆离散余弦变换(IDCT)的技术。 包括8点逆离散余弦变换(IDCT)硬件单元的装置可实施这些技术以将媒体数据从频域转换为空间域。 8点IDCT硬件单元包括与根据第一关系的第一缩放因子(μ)相关的因子A,B的偶数部分。 8点IDCT硬件单元还包括与根据第二关系的第二比例因子(&eegr)相关的第三,第四,第五和第六内部因素(G,D,E,Z)的奇数部分。 第一个关系将第一个缩放因子与第一个和第二个内部因素相关联。 第二个关系将第二个比例因素与第三个,第四个,第五个和第六个内部因素联系起来。