期刊论文

Distributed Visual Retrieval Model Based on Potential Theme

中文

计算机工程

Computer Engineering

1000-3428

2012

38

24

146-151

10.3969/j.issn.1000-3428.2012.24.035

国家自然科学基金资助项目(60902057)； 国家“973”计划基金资助项目(2009CB320902)；

本校为其他机构

为将文档聚类划分的分布式检索方法直接应用于视觉检索领域,提出一种基于潜在主题的分布式视觉检索模型。给出模型框架,包括图像视觉单词的数据集划分方法和图像子集选择方法,以此优化图像分布式检索性能。实验结果表明,该模型在不降低检索准确率的前提下,能优先选择少量的图像子集进行检索,并提高查询的吞吐量。

In order to use distributed retrieval method for document clustering partition directly in visual search field,this paper proposes a distributed visual retrieval model based on potential theme.This paper gives the model framework,including dataset partition method of image visual words and image subset selection method,to optimize image distributed retrieval performance.Experimental results show that this model searches in a few selected image collections without ...