An experimental study on the performance of visual information retrieval similarity models

被引：0

作者：

Eidenberger, H ^{[1
]}

Breiteneder, C ^{[1
]}

机构：

[1] Vienna Univ Technol, Inst Software Technol & Interact Syst, Vienna, Austria

来源：

PROCEEDINGS OF THE 2002 IEEE WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING | 2002年

关键词：

content-based image retrieval; content-based visual retrieval; visual information retrieval; query optimization; similarity measures; triangle inequality; experimental study;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performance is measured as the average query execution time for a significant number of tests. The two models were implemented in the standard version (as they are applied in a number. of prototypes) and in an optimized version. The results show, that optimized logical retrieval clearly outperforms optimized linear weighted merging.

引用

页码：233 / 236

页数：4

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