SNR-based frame-level video bit rate allocation

被引:0
|
作者
Zhuang, Xinhua [1 ]
Liu, Li [1 ]
Lan, Junqiang [2 ]
机构
[1] Univ Missouri, Dept Comp Sci, Columbia, MO 65211 USA
[2] Hamonic Inc, NY Design Ctr, New York, NY USA
来源
2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS | 2006年
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
It is known that video quality fluctuation plays a major negative role on visual perception. In [1], we derived close-form approximations to mimic the highly nonlinear ratedistortion (R-D) and distortion-quantization (D-Q) relationships. Using the two close forms, we can allocate the bit rate at the frame-level rather easily so long as a target distortion for each frame is established. In [1], we set up the target distortion at each frame using a hypothesis that maintaining constant distortion across frames would ease video quality fluctuation. The extensive experiments showed the constant-distortion bit allocation (CDBA) scheme proposed in [11 delivered much smoother video quality than the conventional constant bit allocation (CBA) scheme. However, maintaining constant distortion is about the same as maintaining constant Peak-Signal-to-Noise-Ratio (PSNR). In scene changes, the picture energy often dramatically changes that could generate significantly different Signal-to-Noise-Ratio (SNR) if constant distortion or constant PSNR is maintained. Although computationally more complex, SNR does represent a more objective measure than PSNR in assessment of picture/video quality. In the paper, we consolidate a constant SNR bit allocation (CSNRBA) scheme that attempts to maintain constant SNR throughout the video frames. Extensive experiments show that the CSNRBA scheme provides smooth video quality in terms of natural colors and sharp objects and silhouettes significantly better than both the CBA and CDBA schemes.
引用
收藏
页码:2869 / +
页数:2
相关论文
共 50 条
  • [21] A frame-level MLP-based bit-rate controller for real-time video transmission using VVC standard
    Raufmehr, Farhad
    Salehi, Mohammad Reza
    Abiri, Ebrahim
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2021, 18 (03) : 751 - 763
  • [22] A frame-level MLP-based bit-rate controller for real-time video transmission using VVC standard
    Farhad Raufmehr
    Mohammad Reza Salehi
    Ebrahim Abiri
    Journal of Real-Time Image Processing, 2021, 18 : 751 - 763
  • [23] Video expression recognition based on frame-level attention mechanism
    陈瑞
    TONG Ying
    ZHANG Yiye
    XU Bo
    HighTechnologyLetters, 2023, 29 (02) : 130 - 139
  • [24] Video expression recognition based on frame-level attention mechanism
    Chen R.
    Tong Y.
    Zhang Y.
    Xu B.
    High Technology Letters, 2023, 29 (02) : 130 - 139
  • [25] A Frame-Level Rate Control Scheme Based on Texture and Nontexture Rate Models for High Efficiency Video Coding
    Lee, Bumshik
    Kim, Munchurl
    Nguyen, Truong Q.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2014, 24 (03) : 465 - 479
  • [26] An Efficient Frame-Level Rate Control Algorithm for High Efficiency Video Coding
    Lin, Yubei
    Zhang, Xingming
    Xiao, Jianen
    Su, Shengkai
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2016, 10 (04): : 1877 - 1891
  • [27] A Frame-Level Rate Control Scheme for Low Delay Video Coding in HEVC
    Guo, Hongwei
    Zhu, Ce
    Gao, Yanbo
    Song, Shichang
    2017 IEEE 19TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2017,
  • [28] Optimal Bit Allocation at Frame Level for Rate Control in HEVC
    Guo, Hongwei
    Zhu, Ce
    Li, Shengxi
    Gao, Yanbo
    IEEE TRANSACTIONS ON BROADCASTING, 2019, 65 (02) : 270 - 281
  • [29] Frame-level bit allocation for hierarchical coding of H.265/HEVC considering dependent rate-distortion characteristics
    Minghui Liu
    Peng Ren
    Zheng Xiang
    Signal, Image and Video Processing, 2016, 10 : 1457 - 1463
  • [30] Frame-level bit allocation for hierarchical coding of H.265/HEVC considering dependent rate-distortion characteristics
    Liu, Minghui
    Ren, Peng
    Xiang, Zheng
    SIGNAL IMAGE AND VIDEO PROCESSING, 2016, 10 (08) : 1457 - 1463