Rate control optimization for temporal-layer scalable video coding

Sudeng HU, Hanli WANG, Sam KWONG, Tiesong ZHAO, C.-C. Jay KUO

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

65 Citations (Scopus)


A novel frame-level rate control (RC) algorithm is presented in this paper for temporal scalability of scalable video coding. First, by introducing a linear quality dependency model, the quality dependency between a coding frame and its references is investigated for the hierarchical B-picture prediction structure. Second, linear rate-quantization (R-Q) and distortion-quantization (D-Q) models are introduced based on different characteristics of temporal layers. Third, according to the proposed quality dependency model and R-Q and D-Q models for each temporal layer, adaptive weighting factors are derived to allocate bits efficiently among temporal layers. Experimental results on not only traditional quarter common intermediate format/common intermediate format but also standard definition and high definition sequences demonstrate that the proposed algorithm achieves excellent coding efficiency as compared to other benchmark RC schemes. © 2011 IEEE.
Original languageEnglish
Pages (from-to)1152-1162
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number8
Publication statusPublished - Aug 2011
Externally publishedYes

Bibliographical note

This work was supported in part by the Hong Kong Research Grants Council General Research Fund, under Project 9041353 (CityU 115408), and in part by the Program for Professors of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, the Program for New Century Excellent Talents in University of China, and the National Basic Research Program (973 Program) of China, under Grant 2010CB328101.


  • Hierarchical B-picture prediction
  • rate control
  • rate-distortion model
  • scalable video coding
  • temporal scalability


Dive into the research topics of 'Rate control optimization for temporal-layer scalable video coding'. Together they form a unique fingerprint.

Cite this