
The 3D-High Efficiency Video Coding Standard (HEVC)[1] improves the coding quality by employing multi-viewpoint and depth map coding formats. However, the 3D-HEVC algorithm has high time complexity due to the determination process of the coding unit (CU) size and the recursive rate-distortion cost calculation. To address this problem, we present a fast algorithm, which aims to reduce the time of not only deep image segmentation decision but also the powerful RD optimization. Through fast decision-making on the 3D-HEVC depth map coding unit (CU), which is based on two-dimensional entropy of image and variance, the coding efficiency is improved rapidly. The benchmark experimental on the basic database show that the coding time of the proposed algorithm is reduced by 36.7%.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
