Improving query expansion for image retrieval via saliency and picturability

Authors:
Chee Wee Leong;Samer Hassan;Miguel Enrique Ruiz;Rada Mihalcea
Affiliations:
Department of Computer Science, University of North Texas;Department of Computer Science, University of North Texas;School of Library and Information Management, Emporia State University;Department of Computer Science, University of North Texas
Venue:
CLEF'11 Proceedings of the Second international conference on Multilingual and multimodal information access evaluation
Year:
2011

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Abstract

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.