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Adaptive fast intra mode decision of depth map coding by low complexity RD-Cost in 3D-HEVC

机译:3D-HEVC中低复杂度RD-Cost的深度图编码自适应快速帧内模式决策

摘要

The coding efficiency of 3D-HEVC can be improved significantly by adopting more intra modes in depth map coding, including up to 35 conventional HEVC intra prediction modes and 4 depth modelling modes (DMMs). However, traversing these modes dramatically results in unendurable high complexity. In this paper, we propose an efficient intra mode decision algorithm by taking advantage of the Low Complexity Rate-Distortion Cost information in the rough mode decision. Only one conventional intra mode and several most probable modes are then selected for most cases adaptively based on the threshold derived from the prior probability. Experimental results show that the proposed algorithm provides about 34% saving in terms of the total depth coding time with little drop of the coding performance compared with the state-of-the-art algorithm.
机译:通过在深度图编码中采用更多的内部模式,包括多达35种常规HEVC帧内预测模式和4种深度建模模式(DMM),可以显着提高3D-HEVC的编码效率。但是,遍历这些模式会导致难以忍受的高复杂性。在本文中,我们利用粗糙模式决策中的低复杂度失真成本信息,提出了一种有效的帧内模式决策算法。然后,基于从先验概率得出的阈值,对于大多数情况仅自适应地选择一种常规帧内模式和几种最可能的模式。实验结果表明,与最新算法相比,该算法在总深度编码时间方面可节省约34%的编码性能,而编码性能却几乎没有下降。

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