分数尺度视频转码的运动矢量重估计

Lap-Pui Chau, Yongqing Liang, Yap-Peng Tan
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引用次数: 11

摘要

在视频转码中,为了降低比特率,通常将压缩后的视频转换为较低的分辨率。实现这一点的一种方法是首先对压缩的视频进行解压缩,对每一帧进行降采样,然后重新压缩降比例的帧序列。该方法可以获得高质量的压缩视频码流;然而,它涉及运动矢量估计,计算复杂。最近,人们提出了一些转码技术,直接从原始压缩视频中提取运动矢量来计算低分辨率压缩视频的运动矢量。然而,这些技术不能用于任意大小的视频缩减,例如将CIF(通用中间格式)视频转换为子QCIF(四分之一CIF)视频或将QCIF转换为子QCIF。在本文中,我们提出了一种视频转码方法,可以估计任意大小的缩小视频的运动向量。它可以提供与全搜索运动估计相当的视频质量,但计算复杂度非常低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motion vector re-estimation for fractional-scale video transcoding
In video transcoding, the compressed video is often converted to a lower resolution in order to reduce the bit rate. One way to achieve this is to first decompress the compressed video, down-sample each frame, and then re-compress the down-scaled frame sequences. This method can obtain high-quality compressed video bit-streams; however, it involves motion vector estimation that is computationally complex. Recently, some transcoding techniques have been proposed to compute the motion vectors for a compressed video with lower resolution using the motion vectors directly from the original compressed video. These techniques, however, cannot be used in arbitrary-size video down-scaling, e.g for converting CIF (Common Intermediate Format) video to sub-QCIF (Quarter CIF) video or QCIF to sub-QCIF. In this paper, we propose a video transcoding method that can estimate the motion vectors for arbitrary-size down-scaled video. It can provide video quality that is comparable to full-search motion estimation but with very low computational complexity.
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