title: Fast Coding Unit Encoding Mechanism for Low Complexity Video Coding.
abstract: In high efficiency video coding (HEVC), coding tree contributes to excellent compression performance. However, coding tree brings extremely high computational complexity. Innovative works for improving coding tree to further reduce encoding time are stated in this paper. A novel low complexity coding tree mechanism is proposed for HEVC fast coding unit (CU) encoding. Firstly, this paper makes an in-depth study of the relationship among CU distribution, quantization parameter (QP) and content change (CC). Secondly, a CU coding tree probability model is proposed for modeling and predicting CU distribution. Eventually, a CU coding tree probability update is proposed, aiming to address probabilistic model distortion problems caused by CC. Experimental results show that the proposed low complexity CU coding tree mechanism significantly reduces encoding time by 27% for lossy coding and 42% for visually lossless coding and lossless coding. The proposed low complexity CU coding tree mechanism devotes to improving coding performance under various application conditions.
authors.affiliation: Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
authors.forename: Pengyu
authors.initials: P
authors.lastname: Liu
authors.affiliation: Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
authors.forename: Yueying
authors.initials: Y
authors.lastname: Wu
authors.affiliation: Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
authors.forename: Kebin
authors.initials: K
authors.lastname: Jia
authors.affiliation: Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China.|Beijing Laboratory of Advanced Information Networks, Beijing, China.|College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China.
authors.forename: Guandong
authors.initials: G
authors.lastname: Gao
mesh_terms: D007089:Image Enhancement / Q000379:methods*; D008962:Models, Theoretical; D011336:Probability; D014741:Video Recording / Q000379:methods*