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CTU Layer Rate Control Algorithm in Scene Change Video for Free-Viewpoint Video

机译:用于自由视视点视频的场景变更视频中的CTU层速率控制算法

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摘要

At present, the rate control algorithm for multiview high-efficiency video coding (MV-HEVC) does not have the capability of efficient coding tree unit(CTU) layer bit allocation, and the video quality varies greatly for sequences with sudden scene changes or large motions. To overcome this limitation, this paper proposes a rate control algorithm for MV-HEVC based on scene detection. Firstly, we established rho domain rate control model based on multi-objective optimization. Then, it uses image similarity to make reasonable bit allocation among viewpoints. If the video scene is switched, the image similarity is recalculated, and then the correlation between the weights of the interview point rates and the correlation between the viewpoints are analyzed. Finally, the frame layer rate control considers the layer B-frame and other factors in allocating the code rate, and the basic unit layer rate control adopts different quantization methods according to the content complexity of the CTU. Experimental results show that the proposed rate control algorithm can maintain good coding efficiency and decrease the average video quality variation by 25.29%.
机译:目前,用于多视图高效视频编码(MV-HEVC)的速率控制算法没有有效的编码树单元(CTU)层比特分配的能力,并且视频质量随着突然场景变化或大的序列而变化很大动议。为了克服这些限制,本文提出了一种基于场景检测的MV-HEVC速率控制算法。首先,我们建立了基于多目标优化的RHO域速率控制模型。然后,它使用图像相似度来在视点之间进行合理的位分配。如果视频场景被切换,则重新计算图像相似度,然后分析了面试点速率的权重与观点之间的相关性之间的相关性。最后,帧层速率控制认为层B帧和分配码率的其他因素,并且基本单元层速率控制根据CTU的内容复杂度采用不同的量化方法。实验结果表明,所提出的速率控制算法可以保持良好的编码效率,并降低平均视频质量变化25.29%。

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