全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
软件学报  2008 

Context-Based Entropy Encoding Method for Connectivity Compression of Meshes
基于上下文的网格拓扑压缩熵编码方法

Keywords: Huffman code,context-based arithmetic coding,mesh,connectivity compression,encode,decode
Huffman编码
,基于上下文的算术编码,网格,拓扑压缩,编码,解码

Full-Text   Cite this paper   Add to My Lib

Abstract:

A general efficient algorithm for entropy encoding of the connectivity information of meshes is presented in this paper. In comparison to the previous encoding methods, which use only Huffman or arithmetic coding method to encode operator series, this coding method can efficiently compress connectivity information by first calculating Huffman code for every symbol in connectivity series, followed by encoding the Huffman code through using a context-based arithmetic coding method. Experimental results indicate that this method can be applied to almost all the connectivity compression algorithms for meshes. The compression result by using this entropy encoding method is generally higher than the entropy of the series-the best compression result that most connectivity compression algorithms of mesh can obtain respectively.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133