Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (11): 69-71.

• 学术探讨 • Previous Articles     Next Articles

An Improved Relevance Feedback Algorithm Based on Retrieval Set for Image Retrieval

  

  • Received:2006-10-26 Revised:1900-01-01 Online:2007-04-11 Published:2007-04-11

一种基于检索结果集的图像检索相关反馈算法

罗烨 汤进 罗斌   

  1. 安徽大学图象处理与模式识别实验室 安徽大学图象处理与模式识别实验室 安徽大学图象处理与模式识别实验室
  • 通讯作者: 汤进

Abstract: Most of the relevance feedback techniques for image retrieval focus on adjusting user’s feedback or perfecting the retrieval method used by the system. Unfortunately, rich information contained in retrieval results per round is neglected. In this paper, based on query point movement algorithm, we define the retrieval set that can be got by truncating part of the retrieval results, then a novel algorithm using SVM method combining with memorization which was left in the system’s interactive progress to deal with the retrieval results was propose. The experimental results show that our method is more effective and more accurate than traditional ones.

Key words: relevance feedback, retrieval set, query point movement algorithm, SVM method

摘要: 基于内容的图像检索相关反馈方法大都把着眼点放在调整用户反馈和修改系统的查询策略上,忽略研究每轮检索结果包含的丰富信息。本文基于移动查询点算法,提出截取部分检索结果作为检索结果集,在结果集中使用SVM方法并以系统交互过程的记忆为辅助得到最终结果的方法。由对比实验表明,本文的方法比传统反馈方法具有更高的查准率和查全率。

关键词: 相关反馈, 检索结果集, 移动查询点算法, SVM方法