扩展H.263框架中的编码器优化

P. Subramanian, D. Blasiak, Jiandong Shen, W. Chan
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引用次数: 1

摘要

在类似于h .263标准视频编码器的运动补偿离散余弦变换(MC/DCT)编码框架中,我们探索了由率失真(R-D)优化提供的性能增益。我们表明,精确的全局研发优化是一项非常复杂的任务。相反,我们寻求良好的性能-复杂性权衡。我们探索了一种具有多个复杂性降低特征的编码方案:非迭代拉格朗日运动估计,优化的基于表的DCT编码比特率和失真性能估计,以及块匹配结果的自下而上传播。我们的方案与H.263的先进预测模式(APM)进行了比较,并通过流行的Telenor测试模型进行了验证。对于典型的QCIF视频测试序列,我们的方案提供的PSNR增益范围为0.35至1.1 dB。视觉质量的改善是非常明显的。我们的方案的复杂性大约比Telenor的实现高30%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Encoder optimization in an extended H.263 framework
In a motion-compensated discrete-cosine-transform (MC/DCT) coding framework similar to the H.263-standard video coder, we explore the performance gain furnished by rate-distortion (R-D) optimization. We show that exact global R-D optimization is a very complex task. We seek good performance-complexity tradeoffs instead. We explore an encoding scheme that has several complexity reduction features: noniterative Lagrangian motion estimation, optimized table-based estimators of DCT coding bit rate and distortion performance, and bottom-up propagation of block matching results. Our scheme is compared with the advanced prediction mode (APM) of H.263, as instrumented by the popular Telenor test model. For typical QCIF video test sequences, our scheme furnishes PSNR gains ranging from 0.35 to 1.1 dB. Visual quality improvement is highly palpable. The complexity of our scheme is roughly 30% higher than the Telenor implementation.
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