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9th International Conference on Information Technology Convergence and Services (ITCSE 2020)最新文献

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A Novel Bit Allocation Algorithm in Multi-view Video 一种新的多视点视频位分配算法
T. Yan, In-ho Ra, Deyang Liu, Jiajun Hong, Jingyu Feng, Shaojie Hou
The difficulty of rate control for Multi-view video coding(MVC) is how to allocate bits between views. The results of our previous research including the bit allocation among viewpoints uses the correlation analysis among viewpoints to predict the weight of each viewpoint. But when the scene changes, this prediction method will produce a lot of errors. Therefore, this article avoids this situation happening through scene detection. The core of the algorithm is to first divide all images into 6 types of encoded frames according to the structural relationship between disparity prediction and motion prediction, and improve the binomial rate distortion model, and then perform inter-view, frame layer, and basic unit based on the encoded information. Layer bit allocation and code rate control. In this paper, a reasonable bit rate is allocated between viewpoints based on the encoded information, and the frame layer bit rate is allocated using frame complexity and time-domain activity. Experimental simulation results show that the algorithm can effectively control the bit rate of MVC, while maintaining efficient coding efficiency, compared with the current MVC using JVT with fixed quantization parameters.
多视图视频编码(MVC)的速率控制难点在于如何在视图之间分配比特。我们之前的研究结果包括视点之间的比特分配,使用视点之间的相关性分析来预测每个视点的权重。但是当场景发生变化时,这种预测方法会产生很大的误差。因此,本文通过场景检测来避免这种情况的发生。该算法的核心是首先根据视差预测和运动预测的结构关系将所有图像划分为6类编码帧,并改进二项率失真模型,然后根据编码信息进行视间、帧层、基本单元等操作。层位分配和码率控制。本文根据编码信息在视点之间分配合理的比特率,并根据帧复杂度和时域活动来分配帧层比特率。实验仿真结果表明,与目前使用固定量化参数的JVT的MVC相比,该算法可以有效地控制MVC的码率,同时保持高效的编码效率。
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9th International Conference on Information Technology Convergence and Services (ITCSE 2020)
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