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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

35 Scopus Citations
View graph of relations


Related Research Unit(s)


Original languageEnglish
Article number5771560
Pages (from-to)1673-1684
Journal / PublicationIEEE Transactions on Industrial Electronics
Issue number3
Publication statusPublished - Mar 2012


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.

Research Area(s)

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

Citation Format(s)