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A content-aware quantisation mechanism for transform domain distributed video coding

机译:用于变换域分布式视频编码的内容感知量化机制

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摘要

The (DCT) is widely applied in modern codecs to remove spatial redundancies, with the resulting DCT coefficients being quantised to achieve compression as well as bit-rate control. In (DVC) architectures like DISCOVER, DCT coefficient quantisation is traditionally performed using predetermined (QM), which means the compression is heavily dependent on the sequence being coded. This makes bit-rate control challenging, with the situation exacerbated in the coding of high resolution sequences due to QM scarcity and the non-uniform bit-rate gaps between them. This paper introduces a novel (CAQ) mechanism to overcome the limitations of existing quantisation methods in transform domain DVC. CAQ creates a frame-specific QM to reduce quantisation errors by analysing the distribution of DCT coefficients. In contrast to the predetermined QM that is applicable to only 4x4 block sizes, CAQ produces QM for larger block sizes to enhance compression at higher resolutions. This provides superior bit-rate control and better output quality by seeking to fully exploit the available bandwidth, which is especially beneficial in bandwidth constrained scenarios. In addition, CAQ generates superior perceptual results by innovatively applying different weightings to the DCT coefficients to reflect the human visual system. Experimental results corroborate that CAQ both quantitatively and qualitatively provides enhanced output quality in bandwidth limited scenarios, by consistently utilising over 90% of available bandwidth.
机译:(DCT)广泛应用于现代编解码器中,以消除空间冗余,对所得DCT系数进行量化以实现压缩和比特率控制。在像DISCOVER这样的(DVC)架构中,传统上使用预定(QM)执行DCT系数量化,这意味着压缩在很大程度上取决于要编码的序列。这使比特率控制具有挑战性,由于QM稀缺以及它们之间不均匀的比特率差距,高分辨率序列的编码情况更加恶化。本文介绍了一种新颖的(CAQ)机制,以克服变换域DVC中现有量化方法的局限性。 CAQ创建特定于帧的QM,以通过分析DCT系数的分布来减少量化误差。与仅适用于4x4块大小的预定QM相比,CAQ会为更大的块大小生成QM,以提高高分辨率时的压缩率。通过寻求充分利用可用带宽,这提供了卓越的比特率控制和更好的输出质量,这在带宽受限的情况下尤其有利。另外,CAQ通过创新性地将不同的权重应用于DCT系数以反映人类的视觉系统,从而产生出色的感知结果。实验结果证实了CAQ通过始终利用90%以上的可用带宽,在带宽受限的情况下定量和定性提供了增强的输出质量。

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