Abstract

Most existing rate control algorithms are based on the rate-quantization (R-Q) model. However, with video coding schemes becoming more flexible, it is very difficult to accurately model the R-Q relationship. Therefore, in this study we propose a novel ρ domain rate control algorithm for multiview high efficiency video coding (MV-HEVC). Firstly, in order to further improve the efficiency of MV-HEVC, this paper uses our previous research algorithm to optimize the MV-HEVC prediction structure. Then, we established the ρ domain rate control model based on multi-objective optimization. Finally, it used image similarity to analyze the correlation between viewpoints, using encoded information and frame complexity to proceed in bit allocation and bit rate control of the inter-view, frame lay, and base unit. The experimental simulation results show that the algorithm can simultaneously maintain high coding efficiency, where the average error of the actual bit rate and the target bit rate is only 0.9%.

Highlights

  • Three-dimensional video (3DV) has become increasingly popular, because it provides real depth perception, immersive vision, and novel visual enjoyment for multimedia application

  • In order to verify the algorithm of this paper, on the platform of the multi-view high-efficiency video coding (MV-high-efficiency video coding (HEVC)) system provided by The Joint Collaborative Team on 3D Video Coding Extension Development (JCT-3V), this paper compares the coding performance of this bit rate control algorithm with the multi-view point bit rate control algorithm proposed in [17,18]

  • The current research on multi-view video coding rate control based on the MV-HEVC has not been expanded thoroughly

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Summary

Introduction

Three-dimensional video (3DV) has become increasingly popular, because it provides real depth perception, immersive vision, and novel visual enjoyment for multimedia application. In 2015, multi-view high-efficiency video coding (MV-HEVC), as one of the new 3D standards based on HEVC, was introduced; it had a strong sense of stereoscopic and flexible interaction, which can vividly present a video scene, and showed promise of having wide application in the areas of 3DTV, video conferencing, and so on [2,3]. It has become one research focus in the field of international video coding [4,5]

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