A low complexity mode decision approach for HEVC-based 3D video coding using a Bayesian method
The 3D extension of High Efficiency Video Coding (HEVC) standard (3D-HEVC) aims at improving coding efficiency by introducing new and unique approaches for utilizing correlations between the different views of a scene. Reported coding efficiency, however, comes at the expense of increased computational complexity. For real-time applications, reducing the computational complexity of 3D-HEVC is very important. In this paper, we propose an adaptive fast mode assigning method based on a Bayesian classifier that reduces 3D-HEVC's coding complexity by up to 51.95%, while maintaining the overall quality and bitrate.