TY - JOUR
T1 - High Efficiency Intra CU Partition and Mode Decision Method for VVC
AU - Ni, Chi Ting
AU - Lin, Shih Hsiang
AU - Chen, Pei Yin
AU - Chu, Yu Ting
N1 - Funding Information:
This work was supported in part by the Ministry of Science and Technology, Taiwan, under Grant 108-2221-E-006 -096-MY3.
Publisher Copyright:
© 2013 IEEE.
PY - 2022
Y1 - 2022
N2 - Versatile video coding (VVC/H.266) is the newest video compression standard, which is developed by the Joint Video Experts Team. Compared with previous encoding schemes, VVC achieves higher compression efficiency by introducing a new partition structure and additional intra prediction modes but results in high computational complexity. To efficiently solve this problem of redundant processing in quad-tree with nested multi-type tree structures and intra mode prediction, we propose a texture analysis-based ternary tree (TT) and binary tree (BT) partition strategy, and a gradient-based intra mode decision method to accelerate TT and BT partition and intra mode prediction, separately. The texture complexity and prediction direction of coding unit (CU) is calculated by texture detection method. A texture analysis-based TT and BT partition strategy is established by using the regression method based on analyzing the texture complexity of the CU. Then, a texture analysis-based TT and BT partition strategy is applied to reduce the redundant partition for each CU. By using the prediction direction of CU, a gradient-based intra mode decision method is established for skipping the impossible modes for each CU. Experimental results revealed that the proposed method could save 49.49% in encoding time and increase the Bjontegaard delta bit rate (BDBR) by only 0.56%. It confirms that the proposed method achieved high efficiency and a good balance between the BDBR and time saving.
AB - Versatile video coding (VVC/H.266) is the newest video compression standard, which is developed by the Joint Video Experts Team. Compared with previous encoding schemes, VVC achieves higher compression efficiency by introducing a new partition structure and additional intra prediction modes but results in high computational complexity. To efficiently solve this problem of redundant processing in quad-tree with nested multi-type tree structures and intra mode prediction, we propose a texture analysis-based ternary tree (TT) and binary tree (BT) partition strategy, and a gradient-based intra mode decision method to accelerate TT and BT partition and intra mode prediction, separately. The texture complexity and prediction direction of coding unit (CU) is calculated by texture detection method. A texture analysis-based TT and BT partition strategy is established by using the regression method based on analyzing the texture complexity of the CU. Then, a texture analysis-based TT and BT partition strategy is applied to reduce the redundant partition for each CU. By using the prediction direction of CU, a gradient-based intra mode decision method is established for skipping the impossible modes for each CU. Experimental results revealed that the proposed method could save 49.49% in encoding time and increase the Bjontegaard delta bit rate (BDBR) by only 0.56%. It confirms that the proposed method achieved high efficiency and a good balance between the BDBR and time saving.
UR - http://www.scopus.com/inward/record.url?scp=85135562925&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135562925&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3193401
DO - 10.1109/ACCESS.2022.3193401
M3 - Article
AN - SCOPUS:85135562925
SN - 2169-3536
VL - 10
SP - 77759
EP - 77771
JO - IEEE Access
JF - IEEE Access
ER -