计算机技术与发展2017，Vol.27Issue(4)：55-59,5.DOI:10.3969/j.issn.1673-629X.2017.04.013
大GOP下基于混合更新的边信息生成算法
A Side Information Generation Algorithm with Hybrid Updating in Large GOP
摘要
Abstract
In the distributed video coding,the quality of side information plays an important role in the rate distortion performance of the system.The extrapolation method is widely used because of its good practicability in large GOP.In order to further improve the quality of the generated side information and the rate distortion performance with extrapolation algorithm in large GOP,an algorithm of side information generation based on hybrid updating is proposed.It is a hybrid one which consists of both extrapolation and interpolation algorithm.On the basis of the generated side information resulted from the extrapolation algorithm,the interpolation side information has been produced with motion estimation,vector filtering and motion compensation.While hybrid side information has been generated and updated via self-adaptive weight with the two algorithms the updated hybrid side information and WZ frame are reconstructed again.Experimental results show that the hybrid algorithm can significantly improve both the quality of side information and system rate distortion performance,and that performance of hybrid algorithm is stable,which is suit for video sequences with diverse exercise intensity.关键词
边信息/混合更新/外推算法/内插算法/率失真Key words
side information/hybrid updating/extrapolation algorithm/interpolation algorithm/rate distortion分类
信息技术与安全科学引用本文复制引用
王艳营,冯进玫,张文祥..大GOP下基于混合更新的边信息生成算法[J].计算机技术与发展,2017,27(4):55-59,5.基金项目
黑龙江省教育科学技术研究项目(12541707) （12541707）
