Affiliation:
1. College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Abstract
Three-Dimensional High-Efficiency Video Coding (3D-HEVC) has been extensively researched due to its efficient compression and deep image representation, but encoding complexity continues to pose a difficulty. This is mainly attributed to redundancy in the coding unit (CU) recursive partitioning process and rate–distortion (RD) cost calculation, resulting in a complex encoding process. Therefore, enhancing encoding efficiency and reducing redundant computations are key objectives for optimizing 3D-HEVC. This paper introduces a fast-encoding method for 3D-HEVC, comprising an adaptive CU partitioning algorithm and a rapid rate–distortion-optimization (RDO) algorithm. Based on the ALV features extracted from each coding unit, a Gradient Boosting Machine (GBM) model is constructed to obtain the corresponding CU thresholds. These thresholds are compared with the ALV to further decide whether to continue dividing the coding unit. The RDO algorithm is used to optimize the RD cost calculation process, selecting the optimal prediction mode as much as possible. The simulation results show that this method saves 52.49% of complexity while ensuring good video quality.
Funder
National Natural Science Foundation of China
the Basic Research Projects of Education Department of Henan
Key projects Natural Science Foundation of Henan
Zhongyuan Science and Technology Innovation Leadership Program
Scientic and Technological Project of Henan Province
Postgraduate Education Reform and Quality Improvement Project of Henan Province