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Frame-level bit allocation based on incremental PID algorithm and frame complexity estimation

机译：基于增量PID算法和帧复杂度估计的帧级比特分配

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摘要

Since the current rate control schemes in H.264 do not have the capability of efficient frame-level bit allocation, the video quality varies significantly from frame to frame especially for sequences with sudden scene changes or high motion activities. To overcome the limitation of frame-level bit allocation, we improve H.264 rate control scheme using two tools, the incremental proportional-integral-differential (PID) algorithm and the frame complexity estimation. The incremental PID algorithm is first introduced to control the buffer and reduce the influence of the buffer abrupt fluctuation in the process of frame-level bit allocation. To reduce more video quality variations, the frame target bit allocation is also adjusted by frame complexity that is estimated by residual energy. Simulation results show that the proposed rate control scheme, without introducing expensive computational complexity, decreases the average standard deviation of video quality by 32.29%.
机译：由于H.264中的当前速率控制方案不具有有效的帧级位分配的能力，因此视频质量因帧而异，特别是对于场景突然变化或活动频繁的序列。为了克服帧级比特分配的局限性，我们使用两种工具改进了H.264速率控制方案，即增量比例积分微分（PID）算法和帧复杂度估计。首先引入增量PID算法来控制缓冲区并减少帧级位分配过程中缓冲区突然波动的影响。为了减少更多视频质量变化，还通过帧复杂​​度（由剩余能量估算）来调整帧目标位分配。仿真结果表明，所提出的速率控制方案在不引入昂贵的计算复杂度的情况下，将视频质量的平均标准偏差降低了32.29％。

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