Supervised information retrieval for text and images
Name
56993709-MIT.pdf
Description
Full printable version
Size
2.32 MB
Format
Adobe PDF
Checksum (MD5)
00422fae2a81d4e132c6983a2bcd34df
Author(s)
Kyriakides, Alexandros, 1977-
Advisor(s)
Tomaso Poggio.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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