TY - GEN
T1 - Complexity control of HEVC for video conferencing
AU - Deng, Xin
AU - Xu, Mai
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - In this paper, we propose an effective complexity control approach for video conferencing scenarios on HEVC platform. A complexity control formulation is established to determine the number of depth-constrained largest coding units (LCUs) according to the target complexity. By limiting the maximum depths of different LCUs to different levels, the encoding complexity can be controlled with high accuracy. Different from other approaches, both the objective and perceptual-driven video quality are kindly preserved through taking both the objective and subjective weight maps into consideration when controlling the complexity. The experimental results demonstrate that our approach outperforms the state-of-the art approach with higher control accuracy. Also, despite of complexity reduction, our approach keeps the objective and perceptual-driven quality well.
AB - In this paper, we propose an effective complexity control approach for video conferencing scenarios on HEVC platform. A complexity control formulation is established to determine the number of depth-constrained largest coding units (LCUs) according to the target complexity. By limiting the maximum depths of different LCUs to different levels, the encoding complexity can be controlled with high accuracy. Different from other approaches, both the objective and perceptual-driven video quality are kindly preserved through taking both the objective and subjective weight maps into consideration when controlling the complexity. The experimental results demonstrate that our approach outperforms the state-of-the art approach with higher control accuracy. Also, despite of complexity reduction, our approach keeps the objective and perceptual-driven quality well.
KW - Encoding complexity control
KW - HEVC
KW - Video conferencing
UR - https://www.scopus.com/pages/publications/85023750783
U2 - 10.1109/ICASSP.2017.7952417
DO - 10.1109/ICASSP.2017.7952417
M3 - 会议稿件
AN - SCOPUS:85023750783
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1552
EP - 1556
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Y2 - 5 March 2017 through 9 March 2017
ER -