Article details

Research area
Natural language & AI

Location
Procedings of the Cross Language Evaluation Forum, , Amsterdam, Netherlands

Date
2011

Author(s)
Chee Wee Leong, Samer Hassan, Rada Mihalcea

Improving query expansion for image retrieval via saliency and picturability

Synopsis:

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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