This paper presents the Reference Frame Context Adaptive Variable-Length Compressor (RFCAVLC) for video coding systems. RFCAVLC aims to reduce the external memory bandwidth required to carry out this process. Six experiments were performed, all based on adaptations of the Huffman algorithm, and the best experiment achieved an average compression rate of more than 24% without any loss in quality for all targeted resolutions. This result is similar to the best solutions proposed in the literature, but it is the only one without losses in this process. The presented RFCAVLC splits the reference frames in 4×4 blocks and compresses these blocks using one of four static code tables in a context-adaptive way. An architecture that implements the encoder of the RFCAVLC solution was described in VHDL and synthesized to an Altera Stratix IV FPGA. The synthesis results achieved by the designed architecture indicate that this solution can be easily coupled to a complete video encoder system with negligible hardware overhead and without compromising throughput.
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机译：本文介绍了用于视频编码系统的参考帧上下文自适应可变长度压缩器（RFCAVLC）。 RFCAVLC旨在减少执行此过程所需的外部存储器带宽。进行了六次实验，所有实验均基于霍夫曼算法的改编，而最佳实验在所有目标分辨率下均实现了平均压缩率超过24％，而质量没有任何损失。这一结果与文献中提出的最佳解决方案相似，但它是此过程中唯一没有损失的解决方案。提出的RFCAVLC将参考帧分割为4×4的块，并使用四个静态代码表之一以上下文自适应的方式压缩这些块。在VHDL中描述了实现RFCAVLC解决方案编码器的架构，并将其综合到Altera Stratix IV FPGA中。通过设计架构获得的综合结果表明，该解决方案可以轻松地与完整的视频编码器系统耦合，而硬件开销却可以忽略不计，而且不会影响吞吐量。
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