Descriptive Text Generation for Image Search Result

Abstract:

Article Preview

The image search engines have been effective tools to find pictures from the Internet. They provide a list of image items in response to a user’s query, and rank the items according to their relevance to the query. An image item is often accompanied with a short descriptive text, which is brief text summaries extracted from the webpage title, content, image caption, or its metadata, to provide auxiliary information about the image. In this paper, we present a new and effective descriptive text generation method by using the idea of summarizing an image’s surrounding text, using text’s position information, and finding an image’s nearest neighbors.

Info:

Periodical:

Advanced Materials Research (Volumes 171-172)

Edited by:

Zhihua Xu, Gang Shen and Sally Lin

Pages:

94-97

DOI:

10.4028/www.scientific.net/AMR.171-172.94

Citation:

R. Liu and M. H. Jiang, "Descriptive Text Generation for Image Search Result", Advanced Materials Research, Vols. 171-172, pp. 94-97, 2011

Online since:

December 2010

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Price:

$35.00

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