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Hardware and Software Implementation of H.256 CABAC Encoder/Decoder

机译:H.256 CABAC编码器/解码器的硬件和软件实现

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Video compression is an essential operation in Ultra High Definition (UHD) real time applications. Several techniques for video compression exist nowadays, but the H.265 standard is latest one. High Efficiency Video Coding (HEVC) or H.265 codec is becoming the most important consumer application platforms in the current days. Compared with its predecessor AVC (Advanced Video Codec) standard, it can support the UHD picture at 120 fps. HEVC adopt many advanced techniques such as SAO filter, intra and inter prediction and Context-based Adaptive Binary Arithmetic Coding (CABAC). CABAC is considered as sole entropy coding used in H.265 codec. In this work, we propose hardware and software implementation of HEVC CABAC encoder. First the algorithm is implemented on MATLAB software for controlling the encoding process. Second, in hardware implementation the storage and resources cost can be reduced by running multiple arithmetic encoding engines at the low level (coding block) and enabling the pipeline within the arithmetic coding engine. FPGA Synthesis results demonstrate that our proposed architecture can process 2 regular and 5 bypassed bins per cycle to provide the tradeoff between the throughput and the resources cost.
机译:视频压缩是超高清(UHD)实时应用程序中的必不可少的操作。当今存在几种用于视频压缩的技术,但是H.265标准是最新的一种。高效视频编码(HEVC)或H.265编解码器正在成为当今最重要的消费者应用程序平台。与以前的AVC(高级视频编解码器)标准相比,它可以支持120 fps的UHD图片。 HEVC采用了许多高级技术,例如SAO滤波器,帧内和帧间预测以及基于上下文的自适应二进制算术编码(CABAC)。 CABAC被认为是H.265编解码器中使用的唯一熵编码。在这项工作中,我们提出了HEVC CABAC编码器的硬件和软件实现。首先,该算法在MATLAB软件上实现,用于控制编码过程。其次,在硬件实现中,可以通过在低级别(编码块)运行多个算术编码引擎并启用算术编码引擎内的流水线来减少存储和资源成本。 FPGA综合结果表明,我们提出的架构每个周期可以处理2个常规容器和5个旁路容器,从而在吞吐量和资源成本之间进行权衡。

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