TY - GEN
T1 - A ROI-based bit allocation scheme for HEVC towards perceptual conversational video coding
AU - Deng, Xin
AU - Xu, Mai
AU - Wang, Zulin
PY - 2013
Y1 - 2013
N2 - In this paper, we put forward a simple yet efficient scheme, based on the HEVC platform, to improve the subjective quality of conversational videos. Our scheme, in fact, is a perceptual bit allocation scheme (PBAS) for HEVC, aiming at increasing the amount of bits assigned in ROI regions. First, PBAS scheme employs the robust SURF cascade face detector to extract the regions of interest (ROI) in a conversational video. Then, based on the extracted ROI regions, a perceptual rate-distortion model is presented in PBAS scheme towards subjective quality improvement. By optimizing the rate-distortion model, we can have the optimal settings of bit rates for the ROI and non-ROI regions using PBAS scheme, respectively. Finally, the experimental results show that the PBAS scheme can improve significantly the subjective quality of conversational videos compressed by HEVC.
AB - In this paper, we put forward a simple yet efficient scheme, based on the HEVC platform, to improve the subjective quality of conversational videos. Our scheme, in fact, is a perceptual bit allocation scheme (PBAS) for HEVC, aiming at increasing the amount of bits assigned in ROI regions. First, PBAS scheme employs the robust SURF cascade face detector to extract the regions of interest (ROI) in a conversational video. Then, based on the extracted ROI regions, a perceptual rate-distortion model is presented in PBAS scheme towards subjective quality improvement. By optimizing the rate-distortion model, we can have the optimal settings of bit rates for the ROI and non-ROI regions using PBAS scheme, respectively. Finally, the experimental results show that the PBAS scheme can improve significantly the subjective quality of conversational videos compressed by HEVC.
UR - https://www.scopus.com/pages/publications/84896367484
U2 - 10.1109/ICACI.2013.6748502
DO - 10.1109/ICACI.2013.6748502
M3 - 会议稿件
AN - SCOPUS:84896367484
SN - 9781467363433
T3 - 2013 6th International Conference on Advanced Computational Intelligence, ICACI 2013 - Proceedings
SP - 206
EP - 211
BT - 2013 6th International Conference on Advanced Computational Intelligence, ICACI 2013 - Proceedings
PB - IEEE Computer Society
T2 - 2013 6th International Conference on Advanced Computational Intelligence, ICACI 2013
Y2 - 19 October 2013 through 21 October 2013
ER -