![]() ![]() ![]() Based on our EEO methodology, we develop two algorithms, EEO-ERP and EEO-CMP, to enhance compression efficiency for the ERP and CMP pictures respectively. The appropriate QP value for each block is then dynamically determined according to its ) for the rate-distortion optimization (RDO) process in video coding. Specifically, we develops a spherical bit-rate equalization strategy to obtain a block-level Lagrangian multiplier ( In this research, we propose a new entropy equilibrium optimization (EEO) methodology to enhance the coding performance of VR360 videos. The most intuitive way to deal with this challenge is to empirically assign fixed quantization parameters (QPs) to each coding unit according to its position, which evidently lacks precision, rationality, and thus, degrades coding performance. This brings a new challenge to the compression of VR video sources, which is how to reallocate proper bit-rate to match mainstream projection formats. ![]() Both ERP and CMP pictures can be effectively projected to a virtual three-dimensional spherical surface for rendering. The most popular formats for VR360 sources are the equirectangular projection (ERP) and the cubemap projection (CMP). The content of a VR video can be mapped into a sphere by playing devices to present a 360° scene, which is usually called VR360 in industry community. To provide excellent visual experience for customers, virtual reality (VR) sources require higher resolutions and better visual quality than traditional picture sequences. ![]()
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