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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Web Image Retrieval for Abstract Queries Using Text and Image Information
verfasst von : Kazutaka Shimada, Suguru Ishikawa, Tsutomu Endo
Erschienen in: Information Retrieval Technology
Verlag: Springer Berlin Heidelberg
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In this paper, we propose a method for image retrieval on the web. In this task, we focus on abstract words that do not directly link to images that we want. For example, a user might use a query “summer” to retrieve images of “fireworks” or “a white sand beach with the sea”. In this case retrieval systems need to infer direct words for the images from the abstract query of the user. In our method, we extract related words about a query from the web first. Second, we retrieve images from the web by using the extracted words. Then, a user selects relevant images from the retrieved images. Next, the system computes a similarity between selected images and other images and ranks the images on the basis of the similarity. We use the Earth Mover’s Distance as the similarity. The experimental result shows the effectiveness of our method that uses text and image information for the image retrieval process.