计算机科学 ›› 2016, Vol. 43 ›› Issue (Z6): 171-174.doi: 10.11896/j.issn.1002-137X.2016.6A.040
罗晓林,罗雷
LUO Xiao-lin and LUO Lei
摘要： 针对多视点视频的压缩问题,提出一种基于视觉显著性分析的编码算法。该算法根据人眼对显著性区域的失真更加敏感这一特性,通过控制显著性区域与非显著性区域的编码质量来有效提高多视点视频编码的效率。首先,利用融合颜色与运动信息的视频显著性滤波器提取出多视点视频图像像素级精度的视觉显著性图；然后,将所有视点视频的视觉显著性图转换为编码宏块的显著性表示；最后,利用感知视频编码的原理实现基于显著性的宏块质量自适应控制。实验结果表明,该算法有效地提高了多视点视频编码的率失真效率及主观视频质量。
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