Novel Rate-Quantization Model-Based Rate Control With Adaptive Initialization for Spatial Scalable Video Coding
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 (<i>Q</i><sub>p</sub>), channel bandwidth, and the initial frames' complexity measure, an adaptive <i>Q</i><sub>p</sub>-initialization model is introduced to determine the starting <i>Q</i><sub>p</sub> value for not only the base layer but also the spatial enhancement layers of SVC. Then, a two-stage <i>Q</i><sub>p</sub>-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 <i>Q</i><sub>p</sub> -initialization scheme and the two-stage <i>Q</i><sub>p</sub>-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.