Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest

Aiming at the problems that the strategy of target bit allocation at the CTU layer has deviations from the human subjective observation mechanism, and the update phase of parametric model has a higher complexity in the JCTVC-K0103 rate control algorithm of ITU-T H.265/high efficiency video coding (HEVC) standard. Optimized rate control (ORC) algorithm of ITU-T H.265/HEVC based on region of interest (ROI) is proposed. Firstly, the algorithm extracts the region of interest of video frames based on time and space domains by using the improved Itti model. Then, the weight of target bits is recalculated based on space-time domains to improve the rate control accuracy, and the target bits are distributed based on ROI by the adaptive weight algorithm once again to make the output videos more attuned with the human visual attention mechanism. Finally, the quasi-Newton algorithm is used to update the rate distortion model, which reduces the computational complexity in the update phase of the parametric model. The experimental results show that the ORC algorithm can obtain a better subjective quality in the compressed results with less bit error compared with the other two algorithms. Meanwhile, the rate distortion performance of the ORC algorithm is better on the premise of guaranteeing rate control performance.

[1]  Bin Li,et al.  $\lambda$-Domain Rate Control Algorithm for HEVC Scalable Extension , 2016, IEEE Transactions on Multimedia.

[2]  Rozenn Dahyot,et al.  Extension of GBVS to 3D media , 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

[3]  King Ngi Ngan,et al.  An Efficient Frame-Content Based Intra Frame Rate Control for High Efficiency Video Coding , 2015, IEEE Signal Processing Letters.

[4]  Wei Li,et al.  Region-Based Rate Control for H.264/AVC for Low Bit-Rate Applications , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[5]  Susanto Rahardja,et al.  Fast Coding Quad-Tree Decisions Using Prediction Residuals Statistics for High Efficiency Video Coding (HEVC) , 2016, IEEE Transactions on Broadcasting.

[6]  Detlev Marpe,et al.  Overview of the Range Extensions for the HEVC Standard: Tools, Profiles, and Performance , 2016, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Sam Kwong,et al.  Global Rate-Distortion Optimization-Based Rate Control for HEVC HDR Coding , 2020, IEEE Transactions on Circuits and Systems for Video Technology.

[8]  Loïck Lhote,et al.  Computation and Estimation of Generalized Entropy Rates for Denumerable Markov Chains , 2011, IEEE Transactions on Information Theory.

[10]  LJubisa Stankovic,et al.  Order adaptive local polynomial FT based interference rejection in spread spectrum communication systems , 2005, IEEE Transactions on Instrumentation and Measurement.

[11]  Zhenzhong Chen,et al.  An Optimized Rate Control for Low-Delay H.265/HEVC , 2019, IEEE Transactions on Image Processing.

[12]  Marko Viitanen,et al.  Efficient Mode Decision Schemes for HEVC Inter Prediction , 2014, IEEE Transactions on Circuits and Systems for Video Technology.

[13]  Rik Van de Walle,et al.  Efficient Bit Rate Transcoding for High Efficiency Video Coding , 2016, IEEE Transactions on Multimedia.

[14]  Ying Liu,et al.  Temporal-Layer-Motivated Lambda Domain Picture Level Rate Control for Random-Access Configuration in H.265/HEVC , 2019, IEEE Transactions on Circuits and Systems for Video Technology.

[15]  Tao Liu,et al.  Saliency Inspired Full-Reference Quality Metrics for Packet-Loss-Impaired Video , 2011, IEEE Transactions on Broadcasting.

[16]  Peng Zhang,et al.  SAR Image Change Detection Using PCANet Guided by Saliency Detection , 2019, IEEE Geoscience and Remote Sensing Letters.

[17]  Zhou Wang,et al.  Adaptive Quantization Parameter Cascading in HEVC Hierarchical Coding , 2016, IEEE Transactions on Image Processing.

[18]  Rong Xie,et al.  Saliency based rate control scheme for high efficiency video coding , 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

[19]  Pojala Chiranjeevi,et al.  New Fuzzy Texture Features for Robust Detection of Moving Objects , 2012, IEEE Signal Processing Letters.

[20]  Bin Li,et al.  Rate control for screen content coding in HEVC , 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

[21]  Tao Haihong,et al.  Robust STAP algorithm based on knowledge-aided SR for airborne radar , 2017 .

[22]  Fan Fan,et al.  A Robust Infrared Small Target Detection Algorithm Based on Human Visual System , 2014, IEEE Geoscience and Remote Sensing Letters.

[23]  Fuzheng Yang,et al.  Efficient frame-level bit allocation algorithm for H.265/HEVC , 2017, IET Image Process..

[24]  Farzad Rajaei Salmasi,et al.  Adaptive rate-based congestion control with weighted fairness through multi-loop gradient projection internal model controller , 2015 .

[25]  Max Q.-H. Meng,et al.  Automatic Polyp Detection via a Novel Unified Bottom-Up and Top-Down Saliency Approach , 2018, IEEE Journal of Biomedical and Health Informatics.

[26]  Boli Xiong,et al.  Weak target detection in SAR images via improved itti visual saliency model , 2017, 2017 2nd International Conference on Frontiers of Sensors Technologies (ICFST).

[27]  Shiqi Wang,et al.  SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC , 2019, IEEE Transactions on Multimedia.

[28]  Hou Mingliang,et al.  Study of improving the stability of SUSAN corner detection algorithm , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).