Perceptual rate control algorithms for fax-based video compression

Yi-Jen Chin, T. Berger
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Abstract

Summary form only given. Video samples usually are predicted from coded versions of nearby samples sent either earlier in the same frame or in the previous frame. Analysis of the human vision system (HVS) suggests that we may not need to correct values of residuals that do not exceed a perceptual threshold sometimes referred to in the literature of perception as the just-noticeable-distortion (JND). The ideal JND provides each pixel being coded with a threshold level below which discrepancies are perceptually distortion-free. Also of interest is the rate control analysis of noticeable, above threshold distortions that inevitably result at low bit rates. Because facsimile-based video compression (FBVC) processing is done in the spatio-temporal pixel domain, we can exploit the local psycho-perceptual properties of the HVS. Our proposed rate control algorithms are distinguished by being computationally economical, transform-free, devoid of block-based artifacts, and capable of easily providing a constant bit rate video stream.
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基于传真的视频压缩的感知速率控制算法
只提供摘要形式。视频样本通常是根据同一帧或前一帧发送的附近样本的编码版本来预测的。对人类视觉系统(HVS)的分析表明,我们可能不需要校正不超过感知阈值的残差值,有时在感知文献中称为just- visible -distortion (JND)。理想的JND为每个像素提供编码的阈值水平,低于该阈值水平,差异在感知上不会失真。同样令人感兴趣的是对明显的、高于阈值的失真的速率控制分析,这些失真不可避免地会导致低比特率。由于基于传真的视频压缩(FBVC)处理是在时空像素域进行的,因此我们可以利用HVS的局部心理感知特性。我们提出的速率控制算法的特点是计算经济,无变换,没有基于块的伪影,并且能够很容易地提供恒定的比特率视频流。
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