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Rate Control Based on Similarity Analysis in Multi-view Video Coding

机译:基于多视图视频编码的相似性分析的速率控制

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As with previous single-view video coding, in order to promote the application of multi-view video coding, multi-view video coding also needs to study the appropriate rate control algorithm. Bit rate control has always been a difficult research topic in multi-view video coding. In multi-view video coding, there are 6 types of coded image, so the previous rate control algorithm for single-view video cannot be directly applied to multi-view video coding. The bit rate control is divided into a four-layer structure for bit rate control of multi-view video coding. Among them, the frame-layer code rate control considers the layer B frame and other factors to allocate the code rate, and the basic unit-layer code rate control uses different quantization parameters according to the content complexity of the macroblock. The average error between the actual bit rate and the target bit rate of the bit rate control algorithm can be controlled by 2.39%.
机译:与先前的单视视频编码一样,为了促进多视图视频编码的应用,多视图视频编码还需要研究适当的速率控制算法。比特率控制始终是多视图视频编码中的困难的研究主题。在多视图视频编码中,有6种类型的编码图像,因此以单视图视频的先前速率控制算法不能直接应用于多视图视频编码。比特率控制被分成多视图视频编码比特率控制的四层结构。其中,帧层码率控制认为层B帧和其他因素来分配码率,并且基本单层码率控制根据宏块的内容复杂度使用不同的量化参数。比特率控制算法的实际比特率和目标比特率之间的平均误差可以控制2.39%。

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