Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (31): 168-171.DOI: 10.3778/j.issn.1002-8331.2009.31.050

• 图形、图像、模式识别 • Previous Articles     Next Articles

Constructing user preference profile in personalized image retrieval

HE Lin,ZHANG Jing,SHEN Lan-sun   

  1. Signal & Information Processing Laboratory,Beijing University of Technology,Beijing 100124,China
  • Received:2008-06-18 Revised:2008-10-27 Online:2009-11-01 Published:2009-11-01
  • Contact: HE Lin

个性化图像检索中用户兴趣模型的构建方法

贺 琳,张 菁,沈兰荪   

  1. 北京工业大学 信号与信息处理研究室,北京 100124
  • 通讯作者: 贺 琳

Abstract: A method for constructing user preference profile in personalized image retrieval is proposed.This method is based on short-term interest and long-term interest,in which the short-tem interest vector is decided by analyzing the image low-lever features,and the long-term interest vector is deduced by collecting interests from inference engine.Experiments results show that the recall/precision are significantly improved and satisfied by personalized user as well.

Key words: user preference profile, personalized image retrieval, inference engine, relevance feedback

摘要: 针对个性化图像检索的语义鸿沟问题,提出了一种新的用户兴趣模型的构建方法。将用户兴趣模型分为长期兴趣和短期兴趣:用户的短期兴趣由图像的低层特征映射得到;用户的长期兴趣经过推理机推理,将短期兴趣映射为高层语义得到,从而弥补语义鸿沟。实验结果表明,经过用户兴趣模型过滤的图像检索结果符合用户的个性化要求,相比已有方法在查准率和查全率上取得了明显的改善。

关键词: 用户兴趣模型, 个性化图像检索, 推理机, 相关反馈

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