%0 Journal Article
%T A Fine Granularity Video Coding Algorithm Based on Multi-transformation
基于多变换的细粒度视频编码算法
%A PU Ju-hu
%A XIONG Zhang
%A Han Jun
%A
蒲菊华
%A 熊璋
%A 韩军
%J 中国图象图形学报
%D 2004
%I
%X With the widespread development of video applications, it is very urgent to develop fine granular scalable video compression algorithms, among which discrete wavelet transformation and matching pursuit (MP) transformation are the most popular. However, the complexity of MP video coding and the ringing and rippling of discrete wavelet transform video coding are annoying obstacles to many video applications. In this context, an algorithm based on both discrete wavelet and MP transform is presented in this paper for fine granularity video coding. Firstly, using every eight frames as a unit, this algorithm applies motion prediction and eliminates the inter frame redundancy by 1-dimensional wavelet transformation at motion vector direction. Thus, 1 low-frequency and 7 high-frequency frames are obtained. The transformed low-frequency frame is further processed by 2-dimensional wavelet transformation to eliminate the intra frame redundancy, with the other 7 high-frequency frames coded by Matching Pursuit. A new motion prediction and pixels regulation strategy is also presented in this paper. The MP atom assignment is based on human eye's vision characteristics and the energy of residual after motion estimation. The experiments on its performance and the analysis of computing complexity indicate that this algorithm balances the recovery video quality, computation complexity, and control granularity.
%K video
%K fine granularity
%K wavelet
%K matching pursuit(MP)
%K motion compensation
细粒度
%K 计算复杂度
%K 视频编码算法
%K 人眼视觉特性
%K 恢复
%K 运动估计
%K 二维小波变换
%K 分配策略
%K 像素
%K MP
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=EF0FA79AD6DDDBF1&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=708DD6B15D2464E8&sid=E3C11E2483CABC48&eid=AFB21040E5F48417&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10