Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC
Daehyeok Gwon, Haechul Choi · KSII Transactions on Internet and Information Systems · 2019
High Efficiency Video Coding (HEVC) enables significantly improved compression performance relative to existing standards.However, the advance also requires high computational complexity.To accelerate the intra prediction mode decision, a minimum risk Bayesian classification framework is introduced.The classifier selects a small number of candidate modes to be evaluated by a rate-distortion optimization process using the sum of absolute Hadamard transformed difference (SATD).Moreover, the proposed method provides a loss factor that is a good trade-off model between computational complexity and coding efficiency.Experimental results show that the proposed method achieves a 31.54%average reduction in the encoding run time with a negligible coding loss of 0.93% BD-rate relative to HEVC test model 16.6 for the Intra_Main common test condition.