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Fast mode decision algorithm for H.264/SVC enhancement layer

机译:H.264 / SVC增强层的快速模式决策算法

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Scalable video coding (SVC) has been standardized to extend the capabilities of the H.264 advanced video coding (AVC). The SVC can compress several video sequences of various resolutions as a single bit-stream. In the SVC enhancement layer, for Joint Scalable Video Model (JSVM) software implementation, an exhaustive mode decision process based on the base layer mode predictions is performed to obtain the best mode for each macroblock (MB). This technique may achieve a higher coding efficiency; however, it induces a significant computational complexity in the encoding engine. In order to speedup the SVC encoder, a fast mode decision algorithm was proposed in this paper. In other words, our aim was to decrease the number of candidate modes to reduce the computational complexity and maintain the same level of coding efficiency, this approach used the spatial and temporal correlation between MB situated at the enhancement layer and its co-located MB at the base layer. Our statistical analyses were made using several HD sequences with different motion characteristics. Experimental results show a significant improvement in terms of time encoding which is a major constraint for any real-time implementation. However, this gain is accompanied with an acceptable loss in video quality and a tolerable bit rate increase for most media supports. In fact, our proposed algorithm permits a major improvement that can reach up to 64.9 % in terms of computational effort. This gain will induce an average loss yield to 10.5 or 13.87 % that is comparable to the 13.12 % of the He Li's algorithm with an acceptable loss in terms of subjective video quality.
机译:可扩展视频编码(SVC)已被标准化,以扩展H.264高级视频编码(AVC)的功能。 SVC可以将多个不同分辨率的视频序列压缩为单个位流。在SVC增强层中,对于联合可伸缩视频模型(JSVM)软件实现,将执行基于基础层模式预测的详尽模式决策过程,以获得每个宏块(MB)的最佳模式。该技术可以实现更高的编码效率。但是,它在编码引擎中引起了显着的计算复杂性。为了加快SVC编码器的速度,本文提出了一种快速模式决策算法。换句话说,我们的目标是减少候选模式的数量,以减少计算复杂性并保持相同水平的编码效率,该方法利用了位于增强层的MB及其在同一位置的MB之间的时空相关性。基础层。我们使用具有不同运动特性的多个高清序列进行了统计分析。实验结果表明,在时间编码方面有了显着改善,这是任何实时实现的主要限制。但是,这种增益会伴随视频质量的可接受损失以及大多数媒体支持的可容忍的比特率增加。实际上,我们提出的算法允许进行重大改进,在计算量方面可以达到64.9%。该增益将导致平均损失率达到10.5或13.87%,与He Li算法的13.12%相当,并且在主观视频质量方面可以接受。

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