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Fast DCT domain downsampling and inverse motion compensation

机译:快速DCT域下采样和反向运动补偿

摘要

Downsampling and inverse motion compensation are performed on compressed domain representations for video. By directly manipulating the compressed domain representation instead of the spatial domain representation, computational complexity is significantly reduced. For downsampling, the compressed stream is processed in the compressed (DCT) domain without explicit decompression and spatial domain downsampling so that the resulting compressed stream corresponds to a scaled down image, ensuring that the resulting compressed stream conforms to the standard syntax of 8 x 8 DCT matrices. For typical data sets, this approach of downsampling in the compressed domain results in computation savings around 80 % compared with traditional spatial domain methods for downsampling from compressed data. For inverse motion compensation, motion compensated compressed video is converted into a sequence of DCT domain blocks corresponding to the spatial domain blocks in the current picture alone. By performing inverse motion compensation directly in the compressed domain, the reduction in computation complexity is around 68 % compared with traditional spatial domain methods for inverse motion compensation from compressed data. The techniques for downsampling and inverse motion compensation can be used in a variety of applications, such as multipoint video conferencing and video editing.
机译:在视频的压缩域表示上执行下采样和反向运动补偿。通过直接操纵压缩域表示而不是空间域表示,可以大大降低计算复杂度。对于下采样,在没有显式解压缩和空间域下采样的情况下,在压缩(DCT)域中处理压缩流,以便生成的压缩流与缩小的图像相对应,从而确保生成的压缩流符合8 x 8的标准语法DCT矩阵。对于典型数据集,与从压缩数据进行下采样的传统空间域方法相比,这种在压缩域中进行下采样的方法可节省约80%的计算量。对于逆运动补偿,将运动补偿的压缩视频转换为与仅当前图片中的空间域块相对应的一系列DCT域块。通过直接在压缩域中执行反向运动补偿,与用于从压缩数据进行反向运动补偿的传统空间域方法相比,计算复杂度降低了约68%。下采样和反向运动补偿的技术可以用于多种应用中,例如多点视频会议和视频编辑。

著录项

  • 公开/公告号EP0798927B1

    专利类型

  • 公开/公告日2003-11-12

    原文格式PDF

  • 申请/专利权人 HEWLETT PACKARD CO;

    申请/专利号EP19970103786

  • 发明设计人 BHASKARAN VASUDEV;MERHAV NERI;

    申请日1997-03-06

  • 分类号G06T3/40;H04N7/26;

  • 国家 EP

  • 入库时间 2022-08-21 22:59:52

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