Document (#24681)

Author
Patrick, T.B.
Sievert, M.C.
Popescu, M.
Title
Text indexing of images based on graphical image content
Source
Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
Imprint
Medford, NJ : Information Today
Year
1999
Pages
S.675-680
Series
Proceedings of the American Society for Information Science; vol.36
Abstract
Typically, three alternatives methods are proposed for indexing images in an image database: (1) manually assigning index terms to the image; (2) indexing the images based on associated text; or (3) indexing images based on their graphical content. Method (1) is very labor intensive and intractable for large image databases. Associated text is not always available for method (2). Method (3) may not be sufficiently user- friendly in that users may prefer to express concepts and request information using language rather than images. We describe our investigation of an indexing method that is an alternative to (1) - (3). The method addresses the problem of automatically text indexing images by assigning text index terms to prototypical reference images and using a content based strategy to retrieve images that are similar in graphical content to the reference images. The index terms assigned to the reference images are assigned to the retrieved images using the retrieval similarity scores as term weights. We conclude by discussing reasons why it may be difficult to assign correctly a set of terms rather than a single term
Form
Bilder

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