%0 Journal Article
%T Improved index coding algorithm using distance-based codebook sorting<br>码书距离排序对索引压缩算法的性能改进
%A Gao Fengjuan
%A Pan Zhibin
%A Qiao Ruiping
%A Deng Xiaoman
%A <br>高风娟
%A 潘志斌
%A 乔瑞萍
%A 邓晓曼
%J 中国图象图形学报
%D 2011
%I 
%X The index map after vector quantization has a strong statistical correlation.That means the neighboring indices are the same or the offset between them is very small.Codebook sorting can,according to some criteria,enhance the correlation among neighboring indices.Based on the squared Euclidean distance between code words,a new codebook sorting method is proposed.Compared with the conventional mean-ordered codebook,the distance-ordered codebook has a much higher correlations between neighboring indices and the offset become even smaller.As a result,distance-ordered codebook can also significantly improve the compression efficiency of the AICS (adaptive index coding scheme) algorithm.
%K vector quantization
%K index map
%K distance
%K codebook sorting<br>矢量量化
%K 索引图
%K 距离准则
%K 码书排序
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=3D120F67FFBE1E37F92DE5F8A361B124&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=708DD6B15D2464E8&sid=E641A1E50E600569&eid=CF7717776B0449E1&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=11