Complexity Control for Real-Time Video Coding

E. Akyol, D. Mukherjee, Yuxin Liu
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引用次数: 32

Abstract

A methodology for complexity scalable video encoding and complexity control within the framework of the H.264/AVC video encoder is presented. To yield good rate-distortion performance under strict complexity/time constraints for instance in real-time communication, a framework for optimal complexity allocation at the macroblock level is necessary. We developed a macroblock level fast motion estimation based complexity scalable motion/mode search algorithm where the complexity is adapted jointly by parameters that determine the aggressiveness of an early stop criteria, the number of ordered modes searched, and the accuracy of motion estimation steps for the INTER modes. Next, these complexity parameters are adapted per macroblock based on a control loop to approximately satisfy an encoding frame rate target. The optimal manner of adapting the parameters is derived from prior training. Results using the developed scalable complexity H.264/AVC encoder demonstrate the benefit of adaptive complexity allocation over uniform complexity scaling.
实时视频编码的复杂性控制
提出了一种在H.264/AVC视频编码器框架下复杂度可扩展的视频编码和复杂度控制方法。为了在严格的复杂性/时间限制下产生良好的率失真性能,例如在实时通信中,需要一个在宏块级别上进行最佳复杂性分配的框架。我们开发了一种基于宏块级快速运动估计的复杂性可扩展运动/模式搜索算法,其中复杂性由决定早期停止标准的侵略性、有序模式搜索的数量和INTER模式运动估计步骤的准确性的参数共同适应。然后,根据控制循环对每个宏块调整这些复杂度参数,以近似满足编码帧率目标。通过先验训练得到参数的最优自适应方式。使用开发的可扩展复杂度H.264/AVC编码器的结果表明,自适应复杂度分配优于统一复杂度缩放。
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