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Video Transcoder in DCT-Domain Spatial Resolution Reduction Using Low-Complexity Motion Vector Refinement Algorithm

机译:低复杂度运动矢量细化算法降低DCT域空间分辨率的视频转码器

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We address the topic of spatial-downscaling video transcoder in DCT-domain. The proposed techniques include the hierarchical fast motion resampling (HFMR) with accuracy motion resampling, the fast refinement for nonintegral (FRNI) motion vector (MV), and the dynamic regulating search (DRS) with low-complexity motion vector refinement. Two kinds of motion vector refinement algorithms in DRS are designed for different architectures and applications. Based on brute-force motion compensation in DCT-domain (MC-DCT), FRNI can provide better quality than nonrefine MV and reduce the complexity. DRS can utilize the filter for half-pixel MV in MC-DCT and it is an efficient method for extracting MC-DCT block to improve the performance further. From the experiments, the proposed algorithms can improve the entire quality and also reduce the complexity for DCT-domain video transcoder.
机译:我们解决了DCT域中的空间缩减视频转码器这一主题。所提出的技术包括具有精确运动重采样的分层快速运动重采样(HFMR),非整数运动矢量(FRNI)的快速细化以及具有低复杂度运动矢量细化的动态调节搜索(DRS)。针对不同的体系结构和应用,设计了DRS中的两种运动矢量细化算法。基于DCT域(MC-DCT)的蛮力运动补偿,FRNI可以提供比非精细MV更好的质量并降低复杂性。 DRS可以将滤波器用于MC-DCT中的半像素MV,它是提取MC-DCT块以进一步改善性能的有效方法。从实验中,提出的算法可以提高整体质量,还可以降低DCT域视频转码器的复杂度。

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