TY - GEN
T1 - Robust context-adaptive residual rate model for frame-level bitrate estimation of HEVC
AU - Cai, Qi
AU - Chen, Zhifeng
AU - Huang, Bo
AU - Wu, Dapeng
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2017/8/28
Y1 - 2017/8/28
N2 - In High Efficiency Video Coding (HEVC), a rate control module usually relies on a bitrate model (representing the bitrate as a function of video content statistics and control parameters of the codec) to control the encoder to achieve the target bitrate. Existing bitrate models are not accurate due to their sensitivity to dynamic change of video content. To address this limitation, this paper proposes a new bitrate model, which represents the bit rate of motion-compensated residual as a function of the statistics of Mean Absolute Partial Transformed Difference (MAPTD) of video content and Lagrange multiplier λ specifically, we observe that at the coefficient group level, the relationship between the bitrate and MAPT-D is stable against the variation of coding unit (CU) size, transform unit (TU) size, image resolution and content. Experimental results show that our model can achieve superior performance in frame-level residue-bit-rate estimation, compared with state-of-the-art bitrate models.
AB - In High Efficiency Video Coding (HEVC), a rate control module usually relies on a bitrate model (representing the bitrate as a function of video content statistics and control parameters of the codec) to control the encoder to achieve the target bitrate. Existing bitrate models are not accurate due to their sensitivity to dynamic change of video content. To address this limitation, this paper proposes a new bitrate model, which represents the bit rate of motion-compensated residual as a function of the statistics of Mean Absolute Partial Transformed Difference (MAPTD) of video content and Lagrange multiplier λ specifically, we observe that at the coefficient group level, the relationship between the bitrate and MAPT-D is stable against the variation of coding unit (CU) size, transform unit (TU) size, image resolution and content. Experimental results show that our model can achieve superior performance in frame-level residue-bit-rate estimation, compared with state-of-the-art bitrate models.
KW - HEVC
KW - MAPTD
KW - Rate control
KW - Texture rate model
KW - Video Coding
KW - Video content modeling
KW - λ domain
UR - http://www.scopus.com/inward/record.url?scp=85030247443&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85030247443&origin=recordpage
U2 - 10.1109/ICME.2017.8019383
DO - 10.1109/ICME.2017.8019383
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781509060672
T3 - Proceedings - IEEE International Conference on Multimedia and Expo
SP - 31
EP - 36
BT - 2017 IEEE International Conference on Multimedia and Expo, ICME 2017
PB - IEEE Computer Society
T2 - 2017 IEEE International Conference on Multimedia and Expo, ICME 2017
Y2 - 10 July 2017 through 14 July 2017
ER -