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
  • [41] Exploiting detected visual objects for frame-level video filtering
    Xingzhong Du
    Hongzhi Yin
    Zi Huang
    Yi Yang
    Xiaofang Zhou
    World Wide Web, 2018, 21 : 1259 - 1284
  • [42] Perceptual quality feedback based progressive frame-level refreshing for robust video communication
    Cheng, L
    El Zarki, M
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING SPECIAL SESSIONS, 2004, : 241 - 244
  • [43] Optimal bit rate allocation algorithm for the intra-frame FGS video coding
    Wen, Zhen-Kun
    Zhang, Ji-Hong
    Sun, Li-Feng
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2007, 35 (04): : 761 - 765
  • [44] Scalability Analysis of LoRa Network for SNR-Based SF Allocation Scheme
    Saluja, Deepak
    Singh, Rohit
    Baghel, Lalit Kumar
    Kumar, Suman
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (10) : 6709 - 6719
  • [45] SNR-based Adaptive Computing Resource Allocation in Centralized Baseband Pool
    Zhang, Baofeng
    Xiong, Qi
    Xu, Yuan
    Rao, Huayi
    Mao, Junjie
    2017 17TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2017,
  • [46] Macroblock based bit allocation for snr scalable video coding with hierarchical B pictures
    Rusert, Thomas
    Ohm, Jens-Rainer
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 177 - +
  • [47] Frame rate preferences in low bit rate video
    Yadavalli, G
    Masry, M
    Hemami, SS
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS, 2003, : 441 - 444
  • [48] A frame-level encoder rate control scheme for transform domain Wyner-Ziv video coding
    Chen, Jian
    Zheng, Shuai
    Hu, Qing
    Kuo, Yonghong
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (20) : 20567 - 20585
  • [49] Perceptual quality feedback based progressive frame-level refreshing for robust video communication
    Cheng, L
    El Zarki, M
    2004 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-4: BROADBAND WIRELESS - THE TIME IS NOW, 2004, : 2047 - 2052
  • [50] Joint frame-level and CTU-level rate control based on constant perceptual quality
    Yang, Changshui
    Liu, Yan
    Liu, Qiang
    Zhang, Chi
    Wang, Wenyong
    MULTIMEDIA SYSTEMS, 2024, 30 (03)