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Adapting Model for Convergence of Optimal MINMAX Bit Allocation in INTRA-Frame Video Coding

机译:帧内视频编码中最佳MinMax比特分配融合模型

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The application of optimal bit allocation in real-time video encoders is a challenging prospect for dependent macroblocks (MBs) where a quantiser is ascribed to each MB within a frame. The operational rate-distortion (R-D) convex hull of INTRA encoded frames may be approximated with a power-law function. However, discontinuities on the surface produce local divergence and therefore an adapting model is proposed that switches between power-law prediction and the bisection method to impose convergence. A performance comparison is made between the bisection method and this adapting model algorithm as applied to the H.263+ video encoder.
机译:在实时视频编码中的最佳比特分配在实时视频编码中的应用是依赖于宏块(MB)的具有挑战性的展望,其中量子器归因于帧内的每个MB。帧内编码帧的操作率 - 失真(R-D)凸壳可以用电力法函数近似。然而,表面上的不连续性会产生局部发散,因此提出了一种调整模型,在电力法预测和分支方法之间切换以施加收敛的分布。在双分法与应用于H.263 +视频编码器的平衡方法和这种适应模型算法之间进行了性能比较。

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