Improving Query Expansion for Image Retrieval via Saliency and Picturability

被引：0
|
作者：
Leong, Chee Wee [1 ]
Hassan, Samer [1 ]
Ruiz, Miguel Enrique [2 ]
Mihalcea, Rada [1 ]
机构：
[1] Univ N Texas, Dept Comp Sci, Denton, TX 76203 USA
[2] Emporia State Univ, Sch Lib & Informat Management, Emporia, KS 66801 USA
来源：
MULTILINGUAL AND MULTIMODAL INFORMATION ACCESS EVALUATION | 2011年 / 6941卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we present a Wikipedia-based approach to query expansion for the task of image retrieval, by combining salient encyclopaedic concepts with the picturability of words. Our model generates the expanded query terms in a definite two-stage process instead of multiple iterative passes, requires no manual feedback, and is completely unsupervised. Preliminary results show that our proposed model is effective in a comparative study on the ImageCLEF 2010 Wikipedia dataset.
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页码：137 / +
页数：2
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