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首页> 外文会议>IEEE International Conference on Image Processing >ATTENTION-WEIGHTED DEPTH MAP RATE-ALLOCATION IN FREE-VIEWPOINT TELEVISION
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ATTENTION-WEIGHTED DEPTH MAP RATE-ALLOCATION IN FREE-VIEWPOINT TELEVISION

机译：在自由观点电视中提请加权深度地图速率分配

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摘要

We propose optimal rate-allocation, using viewer attention information among viewpoints, for depth map cameras within a free-viewpoint television broadcast system. An attention-weighted rate-allocation framework enables bit-rate, or quality, to be distributed across the multiple cameras in accordance with viewer interest, minimizing total observed distortions perceived among all viewers. Prior work has considered attention-weighted rate-allocation for texture cameras only in such systems. Depth maps, nonetheless, are a common requirement for view rendering in many systems. They may constitute a significant part of overall transmission bit-rate and they present their own distortion characteristics, different from those of texture. We model the effects of depth camera distortions upon virtual or synthesized views and propose an optimal attention-weighted rate-allocation among depth cameras. Results show significant gains in average PSNR of synthesized views and bit-rate savings of our proposal relative to the balanced rate-allocation alternative.
机译：我们在自由视电视广播系统中使用观点之间的观点之间使用观众注意信息，提出最佳速率分配。注意力加权率分配框架使得能够根据观察者兴趣在多个摄像机上分布的比特率或质量，最大限度地减少所有观众中观察到的总观察到的扭曲。目前工作仅考虑了仅在这种系统中的纹理摄像机的注意力率分配。尽管如此，深度映射是在许多系统中查看渲染的常见要求。它们可以构成整体传输比特率的重要部分，它们呈现自身的失真特征，与纹理不同。我们在虚拟或合成视图上模拟深度相机失真的影响，并提出了深度相机之间的最佳注意力率分配。结果显示了综合视图的平均PSNR的显着增益，以及我们相对于平衡率分配替代方案的提案的比特率节省。

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