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A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter-View Correlations of Texture Images

机译:基于纹理图像时间和视图间相关性的快速高效多视图深度图像编码方法

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摘要

Multi-view video plus depth format, which includes texture and depth images, has been recently introduced as a video representation to support depth perception of scenes and efficient view generation at arbitrary positions. Especially, a depth image has been one of the significantly important issues for successful services of 3-D video applications. In this paper, we introduce a fast and efficient multi-view depth image coding method using the texture images. The proposed method determines to skip some blocks of the depth image at the early stage without a normal encoding process including rate-distortion optimization, based on temporal and inter-view correlations between the previously encoded texture images. The skipped blocks are predicted from the neighboring depth images. Experimental results demonstrate that the proposed method not only achieves the drastically high coding performance but also reduces the complexity of the encoder.
机译:最近已引入多视图视频加深度格式,其中包括纹理和深度图像,作为视频表示形式,以支持场景的深度感知和在任意位置的有效视图生成。尤其是,深度图像已成为3D视频应用程序成功服务的重要重要问题之一。在本文中,我们介绍了一种使用纹理图像的快速有效的多视图深度图像编码方法。所提出的方法基于先前编码的纹理图像之间的时间和视图间相关性,确定在没有包括速率失真优化的正常编码过程的情况下在早期跳过深度图像的一些块。从相邻的深度图像预测跳过的块。实验结果表明,该方法不仅实现了很高的编码性能,而且降低了编码器的复杂度。

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