一种基于率失真优化的关键参考帧选择算法  

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

作　　者：杨天武[1] 彭强[1] 邓云[1] 诸昌钤[1] 

机构地区：[1]西南交通大学信息科学与技术学院,四川成都610031

出　　处：《电子学报》2006年第7期1241-1245,共5页Acta Electronica Sinica

基　　金：铁道部科技研究开发项目(No.2003X040-A)

摘　　要：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．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 pic- ture 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.

关 键 词：视频编码 差错恢复 参考帧选择 率失真优化 关键帧 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]