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Novel Rate-Quantization Model-Based Rate Control With Adaptive Initialization for Spatial Scalable Video Coding
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DOI：10.1109/TIE.2011.2157282.png)
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摘要
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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 (Q(p)), channel bandwidth, and the initial frames' complexity measure, an adaptive Q(p)-initialization model is introduced to determine the starting Q(p) 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 Q(p)-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.
Keyword:
Initial quantization parameter
rate control
rate-quantization (R-Q) model
scalable video coding (SVC)
spatial scalability
期刊
IF:
7.2
论文数:
1.8W
被引数:
9.8W
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