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Depth Video Coding Using Adaptive Geometry Based Intra Prediction for 3-D Video Systems

机译:基于自适应几何的3D视频系统帧内预测的深度视频编码

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摘要

Depth video coding is an essential part of 3-D video processing systems. Specifically, object boundary regions are important in depth video coding since these regions significantly affect the visual quality of a synthesized view. In this paper, we propose an efficient depth video coding method to determine precise intra prediction modes and thereby reduce the loss of boundary information. To achieve this objective, we analyze and exploit statistical and geometric characteristics of the depth video. Experimental results subsequently show that the proposed method performs better than the original intra prediction of H.264/AVC in terms of bit savings and rendering quality.
机译:深度视频编码是3D视频处理系统的重要组成部分。具体而言,对象边界区域在深度视频编码中很重要,因为这些区域会显着影响合成视图的视觉质量。在本文中,我们提出了一种有效的深度视频编码方法,以确定精确的帧内预测模式,从而减少边界信息的损失。为了实现此目标,我们分析和利用深度视频的统计和几何特征。实验结果随后表明,该方法在比特节省和渲染质量方面比H.264 / AVC的原始帧内预测更好。

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