Rate control optimization for temporal-layer scalable video coding

Sudeng Hu, Hanli Wang, Sam Kwong, Tiesong Zhao, C.-C. Jay Kuo

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

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
Article number5742985
Pages (from-to)1152-1162
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume21
Issue number8
DOIs
Publication statusPublished - Aug 2011

Research Keywords

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

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