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Complexity-Aware Frame-Level Bit Allocation and Rate Control for H.264 Scalable Video Coding

机译:H.264可伸缩视频编码的复杂度感知帧级比特分配和速率控制

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摘要

This study aimed to investigate efficient bit-allocation and rate-control methods for H.264 scalable video encoders. We first presented a new bit-allocation algorithm at the frame level for H.264 temporal scalability. Additional to the target bit-rate and buffer occupancy, the temporal hierarchical level and visual complexity were considered for determining the bit budget of a frame. This bit-allocation scheme was followed by a quantization parameter (QP) estimation procedure to achieve the desired bit-rate. We improved the conventional QP assignment by identifying and correcting inappropriate QP values due to incorrect visual complexity prediction. Furthermore, the proposed bit-allocation and rate-control algorithm for temporal scalability was seamlessly integrated with spatial/quality scalabilities to offer flexible bit-rate/quality combinations. Rate-control performance of an investigated method was extensively evaluated in the accuracy of produced bit rates, rate-distortion behavior, and stability of the decoder's buffer occupancy. Experimental results showed that the proposed algorithm achieved accurate bit-rates, prevented buffer overflow and underflow, and simultaneously produced more favorable and stable visual quality as compared to the state-of-the-art approaches in the literature.
机译:这项研究旨在调查H.264可伸缩视频编码器的有效位分配和速率控制方法。我们首先在H.264时间可伸缩性的帧级别上提出了一种新的比特分配算法。除了目标比特率和缓冲区占用率,还考虑了时间层次级别和视觉复杂度,以确定帧的比特预算。此位分配方案之后是量化参数(QP)估计过程,以实现所需的比特率。我们通过识别和纠正由于不正确的视觉复杂性预测而导致的不合适的QP值,改进了常规的QP分配。此外,所提出的用于时间可伸缩性的比特分配和速率控制算法与空间/质量可伸缩性无缝集成,以提供灵活的比特率/质量组合。在产生的比特率,速率失真行为和解码器缓冲区占用的稳定性方面,广泛评估了一种研究方法的速率控制性能。实验结果表明,与文献中的最新技术相比,该算法可实现准确的比特率,防止缓冲区溢出和下溢,并同时产生更有利和稳定的视觉质量。

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