Supervised information retrieval for text and images

Title:	Supervised information retrieval for text and images
Author:	Kyriakides, Alexandros, 1977-
Other Contributors:	Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor:	Tomaso Poggio.
Department:	Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Publisher:	Massachusetts Institute of Technology
Issue Date:	2004
Abstract:	We present a novel approach to choosing an appropriate image for a news story. Our method uses the caption of the image to retrieve a suitable image. We have developed a word-extraction engine called WordEx. WordEx uses supervised learning to predict which words in the text of a news story are likely to be present in the caption of an appropriate image. The words extracted by WordEx are then used to retrieve the image from a collection of images. On average, the number of words extracted by WordEx is 10% of the original story text. Therefore, this word-extraction engine can also be applied to text documents for feature reduction.
Description:	Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (leaves 73-74).
URI:	http://hdl.handle.net/1721.1/28426
Keywords:	Electrical Engineering and Computer Science.

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