Novel rate-quantization model-based rate control with adaptive initialization for spatial scalable video coding

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

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

35 Citations (Scopus)


A novel spatial-layer rate-control algorithm is proposed for scalable video coding (SVC). First, by analyzing the relationship among the best initial quantization parameter (Qp), channel bandwidth, and the initial frames' complexity measure, an adaptive Qp-initialization model is introduced to determine the starting Qp value for not only the base layer but also the spatial enhancement layers of SVC. Then, a two-stage Q p -determination scheme is designed to improve the rate-control performance for the spatial-layer SVC with an efficient frame-complexity prediction method and an adaptive model-parameter update technique employed. Experimental results demonstrate the effectiveness of the proposed Q p-initialization scheme and the two-stage Qp-determination algorithm. By comparison with two other benchmark rate-control algorithms, the proposed rate-control algorithm is able to control constrained bit rates accurately with better rate-distortion performance. © 2011 IEEE.
Original languageEnglish
Pages (from-to)1673-1684
JournalIEEE Transactions on Industrial Electronics
Issue number3
Publication statusPublished - Mar 2012
Externally publishedYes

Bibliographical note

This work was supported in part by Hong Kong Research Grants Council General Research Fund under Project 9041353 (CityU 115408), by the Program for Professor of Special Appointment (Eastern Scholar), Shanghai Institutions of Higher Learning, by the Program for New Century Excellent Talents in University of China under Project NCET-10-0634, and by the National Basic Research Program (973 Program) of China under Grant 2010CB328101.


  • Initial quantization parameter
  • rate control
  • rate-quantization (R-Q) model
  • scalable video coding (SVC)
  • spatial scalability


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