一种基于率失真优化的关键参考帧选择算法

为抑制压缩视频流的传输错误扩散,提出了一种新的基于关键帧的无反馈参考帧选择算法,通过采用一种适用各种掩盖策略的端到端失真度估计方法,评价出选择不同参考帧情况下的解码器失真度期望,在率失真框架内选择最合适的参考帧,使解码端的失真度达到最小.基于H. 263+ TMN8测试模型和IP包丢失的模拟实验表明,提出的率失真优化关键参考帧算法比传统的预测编码方法,PSNR值大约提高了1~3dB.当数据丢包率严重时,优势尤为明显.

A Novel Key Frame Reference Picture Selection Algorithm Based on Rate-Distortion Optimization

To restrain the video transmission error propagation over error prone environment,a new non-feedback reference picture selection algorithm based on key frame was proposed.By using a general end-to-end distortion model that is suitable for various concealment methods,the distortion expectation of decoder is estimated approximately for different reference pictures selection at encoder.Based on rate-distortion optimization rule,the best suitable reference picture is chosen to minimize the decoder distortion.Simulation results in H.263+ test model TMN8 and over IP lost environment show that the proposed algorithm can increase about 1~3 dB performance gains comparing with traditional prediction algorithm for different QCIF video sequences.