Fast depth decision with enlarged coding block sizes for HEVC intra coding of 4K ultra-HD video

Abstract

High Efficiency Video Coding (HEVC), the latest video coding standard, achieves significantly better compression performance than the previous coding standards, especially for high resolution (2K, 4K, etc.) video coding. Intra frame coding adopts a flexible quad-tree coding block structure to get the best coding unit partition, which results in extremely high computational complexity. In this paper, a fast depth decision algorithm with enlarged block sizes is proposed to speed up HEVC intra coding for 4K Ultra-HD video. Firstly, sizes of Coding Unit (CU), Prediction Unit (PU) and Transform Unit (TU) are enlarged in the modified Coding Tree Unit structure to reduce coding complexity. Then, gradient information of an image is exploited for early CU termination to optimize CU partition process. Experimental results of several 4K video sequences show that the proposed algorithm can achieve about 56% encoding time reduction compared to HEVC reference software while maintaining the same encoding performance.

Publication
2015 IEEE Workshop on Signal Processing Systems (SiPS)
Rujun Wei
Rujun Wei
Master Student

I am interested in movie, music and sports.

Li Song
Li Song
Professor, IEEE Senior Member

Professor, Doctoral Supervisor, the Deputy Director of the Institute of Image Communication and Network Engineering of Shanghai Jiao Tong University, the Double-Appointed Professor of the Institute of Artificial Intelligence and the Collaborative Innovation Center of Future Media Network, the Deputy Secretary-General of the China Video User Experience Alliance and head of the standards group.