Content-adaptive parameters estimation for multi-dimensional rate control

Mingliang ZHOU, Bo LI, Yongfei ZHANG*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

9 Citations (Scopus)


Multi-dimensional rate control schemes have been recently utilized to adapt video streams to dynamic network conditions and heterogeneous devices. However, current multi-dimensional rate control methods, which estimate the model coefficients using fixed update duration, usually yield inaccurate parameters for dynamically changing video content. To address this problem, a content-adaptive parameters estimation scheme is proposed for multi-dimensional rate control. Firstly, we propose to estimate the parameters using dynamical update duration based on video content and the update duration of the model coefficients is determined by jointly considering the varying picture complexity and feedback information from the actual encoding results, which can improve the model parameter estimation accuracy. Secondly, a coarse-to-fine initial parameter calculation method is proposed to refine the initial frame rate according to the channel condition and the video sequence characteristics. Extensive experimental results show that the proposed solutions outperform the state-of-the-art schemes, especially for video sequences with high temporal and spatial complexity. Furthermore, our algorithm also slightly reduces the computational complexity as compared to related algorithms.

Original languageEnglish
Pages (from-to)204-218
Number of pages15
JournalJournal of Visual Communication and Image Representation
Issue numberJanuary 2016
Early online date2 Dec 2015
Publication statusPublished - 7 Dec 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Inc. All rights reserved.


  • Initial frame rate
  • Model coefficient
  • Multi-dimensional rate control
  • Parameter estimation
  • Q-R-TQ
  • Sliding window
  • Update duration
  • Video content-adaptive


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