The thesis develops robust algorithms that are used to provide joint control of reconstructed video quality, computational complexity, and compression rate for intra mode video encoding in HEVC. The approach uses a configuration parameter that controls the partitioning of the coding tree unit (CTU) so as to provide for finer control of the encoding process. By jointly sampling the quantization parameter and the configuration mode, the approach generates a finely-sampled, Pareto-optimal, rate-quality-performance surface. A robust, spatially-adaptive control algorithm is proposed for solving the minimum bitrate, maximum quality, and minimum computational complexity optimization problems. The approach is demonstrated on 17 videos from four different classes. For all videos, the approach provides for substantial savings in computational complexity and bitrate, and slight improvements in image quality. Furthermore, the thesis demonstrates dynamic switching between the low, medium and high profiles within the same video.
HEVC, Intra, DRASTIC, Complexity, Rate, Distortion, Optimization
This material is based upon work supported by the National Science Foundation under NSF AWD CNS-1422031. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Level of Degree
Electrical and Computer Engineering
First Committee Member (Chair)
Second Committee Member
ZONG, CONG. "Joint Control of Quality, Complexity, and Rate for HEVC Intra Mode." (2016). https://digitalrepository.unm.edu/ece_etds/262