摘要
发现了QSplat模型文件中的冗余数据-todolistlen,对这部分数据进行预测处理,使用一阶上下文自适应算术编码对预测后的数据进行压缩编码,取得了较传统算法高的压缩率。可以作为QSplat系统的一个补充,用于对其模型数据进行压缩处理。
In this paper,we find a kind of value-todolistlen which is redundant in QSplat files.Then a predictive method is exploited to process the data sets,afterward,1 Context Adaptive Arithmetic Coding is used to compress data and good compression performance than traditional compression tools is obtained.This algorithm can be a good complement to QSplat system for the application in compressing model data.
出处
《大连民族学院学报》
CAS
2008年第5期462-464,共3页
Journal of Dalian Nationalities University