Probability-Based Fast Intra Prediction Algorithm for Spatial SHVC

doi:10.1109/TBC.2021.3126277

Probability-Based Fast Intra Prediction Algorithm for Spatial SHVC

2022-03-01

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DOI：10.1109/TBC.2021.3126277

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Due to multi-layer encoding and Inter-layer prediction, Scalable High Efficiency Video Coding (SHVC) has extremely high coding complexity. It is very crucial to improve its coding speed so as to promote widespread and cost-effective SHVC applications. In this paper, we propose a new probability-based fast Intra prediction algorithm for spatial SHVC. More specifically, first, we integrate depth probabilities with textural based all-zero blocks and all-nonzero blocks through Lagrange Interpolation Polynomial (LIP) to derive thresholds to early skip unlikely depths and early terminate depth selection. Second, to early skip Intra mode prediction, we combine mode probabilities with Jarque-Bera test through LIP to test the residual coefficients of Inter-layer reference (ILR) mode. Third, we adopt the difference of Hadamard Costs (HCs) of horizontal, vertical and diagonal directional modes to predict candidate directional modes (DMs), and then exploit both the percentages of gradient amplitudes and HCs for DM early termination. Experimental results demonstrate that the proposed algorithm can achieve a speed up gain of more than 61% with 0.03% decrease in Bjontegaard Delta Bit Rate on average.

Keywords:

Correlation

Encoding

Prediction algorithms

Complexity theory

Lips

Scalability

Copper

SHVC

depth decision

ILR mode

directional mode

early termination

Probability-Based Fast Intra Prediction Algorithm for Spatial SHVC

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