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网络图像检索重排序系统建模和仿真
引用本文:刘岩,尹东,张振.网络图像检索重排序系统建模和仿真[J].电子技术,2009,36(11):47-49,46.
作者姓名:刘岩  尹东  张振
作者单位:中国科学技术大学信息科学技术学院
摘    要:基于关键词的网络图像检索得到的结果往往是海量且无序的,给用户造成不便。本文构建了一个网络图像检索结果重排序系统并进行了仿真。提出了一种利用图像SIFT局部特征构建图像间视觉Graph结构对图像进行聚类的重排序算法,并引入检索关键词的网络翻译以提高检索效率。仿真结果证明,系统的重排序结果满足网络用户的检索期望,验证了算法的有效性。

关 键 词:网络图像检索  尺度不变特征变换    网络翻译  重排序

Modeling and Simulation of Web Image Retrieval Re-ranking System
Liu Yan Yin Dong Zhang Zhen.Modeling and Simulation of Web Image Retrieval Re-ranking System[J].Electronic Technology,2009,36(11):47-49,46.
Authors:Liu Yan Yin Dong Zhang Zhen
Institution:Liu Yan1 Yin Dong2 Zhang Zhen3 (1. School of Information Science and Technology,USTC)
Abstract:The results of web image retrieval based on key-word query tend to be huge in quantity and disordered,which causes much inconvenience to users. In this paper,a re-ranking system of web image retrieval results is constructed and simulation is made. Also a re-ranking algorithm is proposed,which use SIFT local features of the images to construct visual graph among images so as to cluster the images,in the same time Web Explanation of keywords is introduced to enhance the efficiency of retrieval. Experiments sh...
Keywords:Web image retrieval  SIFT  graph  Web Explanation  re-ranking  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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