Volume 10, Number 05, May 2020

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

  Authors

Tao Yan¹, In-Ho Ra², Deyang Liu³, Deli Chen¹, Yu Youhao¹ and Shaojie Hou¹, ¹Putian University, China, ²Kunsan National University, South Korea and ³Anqing Normal University, China

  Abstract

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%.

  Keywords

Multi-view video coding, Rate control, Bit allocation, Basic unit layer

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