TY - GEN
T1 - Fast intra prediction algorithm with enhanced sampling decision for H.265/HEVC
AU - Im, Sio Kei
AU - Ghandi, Mohammad Mahdi
AU - Chan, Ka Hou
N1 - Publisher Copyright:
© 2017 by SCITEPRESS - Science and Technology Publications, Lda.
PY - 2017
Y1 - 2017
N2 - H.265/HEVC is the latest video coding standard, which offers superior compression performance against H.264/AVC at the cost of greater complexity in its encoding process. In the intra coding of HEVC, a Coding Unit (CU) is recursively divided into a quad-tree-based structure from the Largest Coding Unit (LCU). At each level, up to 35 potential intra modes should be checked. However, examining all these modes is very timeconsuming. In this paper, an intra mode decision algorithm is proposed that reduces the required computations while having negligible effect on Rate-Distortion (RD) performance. A rough mode decision method based on image component sampling is proposed to reduce the number of candidate modes for rough mode decision and RD optimization. To balance the quality and performance, the decision to reduce the full search is made with a thresholds that is dynamically updated based on the Quantization Parameter (QP) and CU size of each recursive step. Experiments show that our algorithm can achieve a reasonable trade-off between encoding quality and efficiency. The saving in encoding time is between 30.0% to 45.0% while BD-RATE may increase by up to 0.5% for H.265/HEVC reference software HM 16.9 under all-intra configuration.
AB - H.265/HEVC is the latest video coding standard, which offers superior compression performance against H.264/AVC at the cost of greater complexity in its encoding process. In the intra coding of HEVC, a Coding Unit (CU) is recursively divided into a quad-tree-based structure from the Largest Coding Unit (LCU). At each level, up to 35 potential intra modes should be checked. However, examining all these modes is very timeconsuming. In this paper, an intra mode decision algorithm is proposed that reduces the required computations while having negligible effect on Rate-Distortion (RD) performance. A rough mode decision method based on image component sampling is proposed to reduce the number of candidate modes for rough mode decision and RD optimization. To balance the quality and performance, the decision to reduce the full search is made with a thresholds that is dynamically updated based on the Quantization Parameter (QP) and CU size of each recursive step. Experiments show that our algorithm can achieve a reasonable trade-off between encoding quality and efficiency. The saving in encoding time is between 30.0% to 45.0% while BD-RATE may increase by up to 0.5% for H.265/HEVC reference software HM 16.9 under all-intra configuration.
KW - Adaptive Thresholds
KW - Fast Intra Predication
KW - High Efficient Video Coding
KW - Weighted Sampling
UR - http://www.scopus.com/inward/record.url?scp=85027587269&partnerID=8YFLogxK
U2 - 10.5220/0006131400600067
DO - 10.5220/0006131400600067
M3 - Conference contribution
AN - SCOPUS:85027587269
T3 - VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
SP - 60
EP - 67
BT - VISAPP
A2 - Imai, Francisco
A2 - Tremeau, Alain
A2 - Braz, Jose
PB - SciTePress
T2 - 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017
Y2 - 27 February 2017 through 1 March 2017
ER -