Acceleration of an Optimized Kvazaar All Intra Prediction on Embedded Systems Based on the Directional Texture Complexity

Abstract

The high growth of real-time video applications on embedded systems poses challenges for practical encoders aiming to deliver high quality and high speed simultaneously. In real-world video applications, the slower preset in Kvazaar HEVC encoder can achieve impressive quality, with a penalty of extensive computational time. This is ultimately due to rate-distortion optimization that involves a comprehensive analysis of all possible quad-tree partitioning within the coding tree unit (CTU) structure, resulting in unpleasant encoding complexity. This letter proposes a method of accelerating All Intraprediction on Nvidia Jetson TX1 using early termination of CTU partitioning and a method of selecting only eight modes for intraframe search. The proposed technique reduces the running time of an optimized Kvazaar all intraprediction by 48.4% and 40.24% at slower and higher presets, respectively, with an average BD rate lost of 1.5% and 0.682% compared to the optimized Kvazaar running under the same coding configuration.