计算机工程

基于自反馈的动态权值图像检索方法

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  • 1.中国航空综合技术研究所 信息服务与档案管理室, 北京 100028;
    2.沈阳航空航天大学 知识工程研究中心, 沈阳 110136;
    3.百度公司 复合搜索部, 北京 100085
李薇(1986-), 女, 辽宁沈阳人, 助理工程师, 主要研究方向:知识工程, E-mail:chouniu19860724@163.com。

收稿日期: 2013-10-09

Dynamic weight image retrieval method based on self-feedback

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  • 1.Information Service and Documents Administration Department, China Aero-Polytechnology Establishment, Beijing 100028;
    2.Research Center for Knowledge Engineering, Shenyang Aerospace University, Shenyang 110136;3.Composite Search Department, Baidu, Beijing 100085

Received date: 2013-10-09

摘要

目前基于单一特征的图像检索方法已经成熟, 如何有效地利用这些特征是图像检索的一个关键问题。利用颜色、纹理、形状等特征进行图像检索, 结合自反馈技术中的权系数调整方法, 将动态生成权值的方法应用于多特征融合过程以实现检索。实验结果表明算法能够准确、高效地检索出目标图像。相对于单一特征的检索, 本文方法有效地提高了图像检索的精度。

本文引用格式

李薇, 周俏丽, 高徽, 郎文静 . 基于自反馈的动态权值图像检索方法[J]. 沈阳航空航天大学学报, 2013 , 30(6) : 34 -37 . DOI: 10.3969/j.issn.2095-1248.2013.06.008

Abstract

Image retrieval based on single feature has already been quite mature.How to use these single features effectively is the key to the image retrieval.In this paper, we apply dynamic weight to multi-featured process to achieve retrieval by combining the single features such as color, texture and shape with the feedback technology.Experimental results show that the algorithm using dynamic weight can accurately and efficiently retrieve the target image.

参考文献

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