基于感知注意区域的深度图运动估计

Pei-Jun Lee, Chun-Yuan Cheng
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引用次数: 2

摘要

本文提出了一种提高二维深度图和三维深度图编码效率的新方案。该算法既减少了对彩色图像和深度图使用H.264编码的编码时间,又提高了二维MV共享深度编码的编码质量。该方法利用三维感知注意区域确定深度图中的重运动估计mb。此外,为了减少运动估计的编码时间,该算法通过运动活动来选择编码模式,实现了快速的模式决策mb。实验结果表明,与穷极全模式决策方法相比,该方法的总编码时间缩短了约41.09%,SSIM提高了约0.0764,PSNR提高了约6.7685dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motion estimation of depth map based on perceptual attention region
This paper proposes a new solution to improve the coding efficiency of depth map in 2D plus depth map of 3D video coding. The proposed algorithm is achieved to reduce coding time on using H.264 encoding for both color image and depth map and to enhance the encoding quality for 2D MV sharing to depth encoding. The method uses 3D perceptual attention regions to determine re-motion estimation MBs in depth map. Moreover, to reduce the coding time for the remotion estimation, the proposed algorithm achives a fast mode decision MBs by motion activity to select coding mode. Experimental results show that the entire encoding time is reduced by about 41.09% compared with the exhaustive full mode decision approach, and the SSIM is increased by about 0.0764 and the PSNR is increased by about 6.7685dB compared with the MV sharing approach.
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