An adaptive rate control scheme for H.264 scalable video coding

Rate Control plays an important role in video coding, which performs successful transmission of all encoded bits with available limited bandwidth. This paper aims to provide an adaptive rate controller for H.264 scalable video coding. The Quantization Parameter (QP) plays an important role in any rate controller for encoding demanded bits. The Quantization parameter estimation and the rate controller algorithm follows two pass (1) Initial Quantization Parameter value estimated by simplified Rate Distortion model using Cauchy Density based PDF and Buffer status (2) Rate Distortion Optimization method to determine minimum cost for the mode and motion vector using the estimated Quantization Parameter. The experimental result shows that our rate control algorithm is better than the FixedQPencoder of JSVM 9.19.15 in terms of PSNR and bit rate. Moreover our scheme performs in single iteration to encode the frame with the desired QP and Buffer status calculated to prevent from overflow and underflow.