Two-Stage Fast Inter CU Decision for HEVC Based on Bayesian Method and Conditional Random Fields

In the latest video coding standard High Efficiency Video Coding (HEVC), a quadtree-based Coding Unit (CU) partitioning scheme is adopted to better adapt to the characteristics of the video contents. However, the flexible scheme significantly increases the coding complexity because large amount of possible CU partitioning modes should be traversed. In this paper, we propose a two-stage fast inter CU decision method to reduce the coding complexity of the HEVC encoders. In Stage I, all the CUs are classified into three categories based on Bayesian method after the Prediction Unit (PU) mode merge 2N ×2N is checked. Early CU pruning and early CU skipping are then applied to two of the categories, respectively. For the remaining category which is difficult to differentiate by the Rate-Distortion (RD) cost of the PU mode merge 2N × 2N, an early CU pruning scheme based on Conditional Random Fields (CRFs) is performed in Stage II, which takes both the local characteristics of the current CU and the coding information of its neighboring CUs into consideration. Experimental results show that our method can reduce 54.93% and 45.84% of the coding complexity on average with only 1.19% and 1.03% Bjontegaard Delta bitrate increment under the Random Access (RA) main and the Low Delay P (LDP) configurations, respectively.