计算机应用与软件Issue(12)：195-197,201,4.DOI:10.3969/j.issn.1000-386x.2014.12.046
基于前向预测并行追踪的视频压缩传感方法
COMPRESSED VIDEO SENSING METHOD BASED ON FORWARD PREDICTIVE PARALLEL TRACKING
摘要
Abstract
In order to reduce the load at video signal collection end, we propose a video compression algorithm model which is based on com-pressed sensing theory.The model adopts generalised rotation matrix to acquire the measured values of video frames and then combines the key technology of motion compensation prediction of video compression to remove redundancies between video frames.Next, it introduces the forward prediction technology to parallel greedy tracking algorithm as the reconstruction algorithm, and finally obtains the reconstructed com-pression images.In the experiments we compare the reconstructed images with different algorithms and the reconstructed PSNR values with different algorithms in different sampling ratios, and use the presented method to obtain the reconstructed compressive images of video se-quence.Experimental results indicate that more accurate compressed video images can be obtained by the proposed algorithm model, and it is suitable for application in video compression.关键词
压缩传感/视频压缩/广义轮换矩阵/并行追踪Key words
Compressed sensing/Video compression/Generalised rotation matrix/Parallel tracking分类
信息技术与安全科学引用本文复制引用
庄燕滨,桂源,肖贤建..基于前向预测并行追踪的视频压缩传感方法[J].计算机应用与软件,2014,(12):195-197,201,4.基金项目
江苏省科技厅工业支撑计划项目（ BE2010072）；常州市科技局国际合作项目（CZ20123006）。 （）
