电子科学 |
|
|
|
|
基于失真传递的时域自适应量化算法 |
殷海兵, 王鸿奎, 王忠霄 |
中国计量大学 信息工程学院, 浙江 杭州 310018 |
|
A temporally adaptive quantization algorithm with constrained distortion propagation in video coding |
YIN Haibing, WANG Hongkui, WANG Zhongxiao |
College of Information Engineering, China Jiliang University, Hangzhou 310018, China |
[1] LI B, LI H Q, LI L, et al. λ domain rate control algorithm for high efficiency video coding[J]. IEEE Transactions on Image Processing, 2014,23(9):23-50. [2] LEE B, KIM M, NGUYEN T Q. A frame-level rate control scheme based on texture and nontexture rate models for high efficiency video coding[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2014,24(3):465-479. [3] YIN H B, YANG E H, YU X. Fast soft decision quantization with adaptive preselection and dynamic trellis graph[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2015,25(8):1362-1375. [4] RAMCHANDRAN K, ORTEGA A, VETTERLI M. Bit allocation for dependent quantization with applications to multi resolution and MPEG video coders[J]. IEEE Transactions on Image Processing, 1994,3(5):533-545. [5] LIU J Y, CHO Y, GUO Z M, et al. Bit allocation for spatial scalability coding of H.264/SVC with dependent rate-distortion analysis[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2010,20(7):967-981. [6] 陈杰,虞露.视频编码中考虑参考帧质量的重建图像失真模型[D].杭州:浙江大学,2012. CHEN J,YU L. The Distortion Model of the Reconstructed Picture Considering Reference Frame in Video Coding[D]. Hangzhou:Zhejiang University, 2012. [7] PANG C, AU O C, ZOU F, et al. An analytic framework for frame-level dependent bit allocation in hybrid video coding[J]. IEEE Transactions on Circuits and Systems for Video Technology,2013,23(6):990-1002. [8] WANG S S, MA S W, WANG S Q, et al. Rate-GOP based rate control for high efficiency video coding[J]. IEEE Journal of Selected Topics in Signal Processing, 2013,7(6):1101-1111. [9] 朱策,周益民,李帅,等,基于信源失真时域传播的视频编码率失真优化(AVS-M3406)[C]//The 49th Meeting of AVS. 大连:大连理工大学,2014. ZHU C, ZHOU Y M, LI S, et al. Rate distortion optimization for video coding based on source-end distortion propagation Chain (AVS-M3406)[C]//The 49th Meeting of AVS. Dalian:Dalian University of Technology,2014. [10] ORTEGA A, RAMCHANDRAN K. Rate-distortion methods for image and video compression[J]. IEEE Signal Processing Magazine, 1998,15(6):23-50. [11] LEE J S, EBRAHIMI T. Perceptual video compression:A survey[J]. IEEE Journal of Selected Topics in Signal Processing, 2012,6(6):684-697. [12] 蒋刚毅,朱亚培,郁梅,等.基于感知的视频编码方法综述[J].电子与信息学报,2013,35(2):474-483.JIANG G Y, ZHU Y P, YU M, et al. Perceptual video coding:A survey[J]. Journal of Electronics & Information Technology, 2013,35(2):474-483. [13] 崔子冠,朱秀昌.基于结构相似的H.264主观率失真性能改进机制[J].电子与信息学报,2012,34(2):433-439. CUI Z G, ZHU X C. Subjective rate-distortion performance improvement scheme for H.264 based on SSIM[J]. Journal of Electronics & Information Technology,2012,34(2):433-439. [14] 郑明魁,苏凯雄,王卫星,等.基于视觉感知的高效视频编码标准帧内量化矩阵优化方法[J].电子与信息学报,2014,36(12):2861-2868. ZHENG M K, SU K X, WANG W X, et al. An improved intra quantization matrix for high efficiency video coding based on visual perception[J]. Journal of Electronics & Information Technology, 2014,36(12):2861-2868. [15] JASON G. A novel macroblock-tree algorithm for high-performance optimization of dependent video coding in H.264/AVC[EB]. http://x264.nl/developers/Dark_Shikari/MBtree%20paper.pdf. [16] FUSS I G, NAVARRO D J. Open parallel cooperative and competitive decision processes:A potential provenance for quantum probability decision models[J]. Topics in Cognitive Science, 2013,5(4):818-843. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|