Rate Control Optimization for Temporal-Layer Scalable Video Coding

  • Authors:
  • Sudeng Hu; Hanli Wang; Sam Kwong; Tiesong Zhao;C. J. Kuo

  • Affiliations:
  • Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, China;-;-;-;-

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2011

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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.