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LOW-COMPLEXITY RATE-DISTORTION OPTIMAL MACROBLOCK MODE SELECTION FOR MPEG-LIKE VIDEO CODERS

机译:低复杂度率失真最优宏块模式选择MPEG样视频编码器

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Constrained optimization techniques provide an effective solution to the rate-distortion optimized mode selection in hybrid motion compensation-DCT based video encoders. However, the minimization of the Lagrangian cost function often presents a computational burden in real-time applications. In this paper, we propose a new method for rate-distortion optimized coding mode selection. Instead of using the Lagrangian method, we employ a computationally efficient, yet highly effective rate-distortion model to minimize the overall distortion of a macroblock. Extensive experimental results show that the proposed method provides PSNR improvements of 2.79,1.64, and 1.54 dB over TM5-based MPEG-2 encoder, at the bit-rates of 2,4, and 6 Mbps, respectively, with negligible increase in computational complexity.
机译:受限优化技术为混合运动补偿-DCT基于视频编码器中的速率失真优化模式选择提供了有效解决方案。然而,拉格朗日成本函数的最小化往往呈现实时应用中的计算负担。在本文中,我们提出了一种用于速率失真优化编码模式选择的新方法。我们使用计算有效,但高效的速率失真模型而不是使用拉格朗日方法来最小化宏块的整体失真。广泛的实验结果表明,该方法的PSNR改进为2.79,1.64和1.54 dB的基于TM5的MPEG-2编码器,分别为2,4和6 Mbps的比特率,计算复杂性的增加可忽略不计。

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