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公开(公告)号:US20120082232A1
公开(公告)日:2012-04-05
申请号:US13249079
申请日:2011-09-29
IPC分类号: H04N7/12
CPC分类号: H04N19/13 , H04N19/132 , H04N19/14 , H04N19/146 , H04N19/149 , H04N19/176 , H04N19/18 , H04N19/60 , H04N19/625 , H04N19/64 , H04N19/91
摘要: 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.
摘要翻译: 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。