Paper Title:
Descriptive Text Generation for Image Search Result
  Abstract

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, 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
$32.00
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