TY - GEN
T1 - Complexity control of HEVC based on region-of-interest attention model
AU - Deng, Xin
AU - Xu, Mai
AU - Li, Shengxi
AU - Wang, Zulin
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/2/27
Y1 - 2015/2/27
N2 - In this paper, we present a novel complexity control method of HEVC to adjust its encoding complexity. First, a region-of-interest (ROI) attention model is established, which defines different weights for various regions according to their importance. Then, the complexity control algorithm is proposed with a distortion-complexity optimization model, to determine the maximum depth of the largest coding units (LCUs) according to their weights. We can reduce the encoding complexity to a given target level at the cost of little distortion loss. Finally, the experimental results show that the encoding complexity can drop to a pre-defined target complexity as low as 20% with bias less than 7%. Meanwhile, our method is verified to preserve the quality of ROI better than another state-of-the-art approach.
AB - In this paper, we present a novel complexity control method of HEVC to adjust its encoding complexity. First, a region-of-interest (ROI) attention model is established, which defines different weights for various regions according to their importance. Then, the complexity control algorithm is proposed with a distortion-complexity optimization model, to determine the maximum depth of the largest coding units (LCUs) according to their weights. We can reduce the encoding complexity to a given target level at the cost of little distortion loss. Finally, the experimental results show that the encoding complexity can drop to a pre-defined target complexity as low as 20% with bias less than 7%. Meanwhile, our method is verified to preserve the quality of ROI better than another state-of-the-art approach.
KW - Complexity control
KW - HEVC
KW - region of interest
UR - https://www.scopus.com/pages/publications/84925434534
U2 - 10.1109/VCIP.2014.7051545
DO - 10.1109/VCIP.2014.7051545
M3 - 会议稿件
AN - SCOPUS:84925434534
T3 - 2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
SP - 225
EP - 228
BT - 2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
Y2 - 7 December 2014 through 10 December 2014
ER -