An improved rate control algorithm of H.264/AVC based on human visual system

Abstract

The spacial and temporal features of video pictures are analyzed based the characteristics of Human Visual System (HVS). Then a analysis model of video pictures is proposed, which will abstract the features of motion and texture of video pictures. Based on the moving region detector and texture analysis model,the perceptual importance of MBs is assigned as four grades. The Lagrange coefficient λ mode and Quantization step length QP are adjusted according to the grades. A adaptive rate-control algorithm of H.264/AVC is proposed at last. Simulation results show that the proposed algorithm can efficiently reduce bit rates without visual quality degradation and gain better subjective video quality under the condition of rate-restricted. © 2012 Springer Science+Business Media B.V.