| dc.contributor.advisor |
Tomaso Poggio. |
en_US |
| dc.contributor.author |
Kyriakides, Alexandros, 1977- |
en_US |
| dc.contributor.other |
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. |
en_US |
| dc.date.accessioned |
2005-09-26T20:23:04Z |
|
| dc.date.available |
2005-09-26T20:23:04Z |
|
| dc.date.copyright |
2004 |
en_US |
| dc.date.issued |
2004 |
en_US |
| dc.identifier.uri |
http://hdl.handle.net/1721.1/28426 |
|
| dc.description |
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
en_US |
| dc.description |
Includes bibliographical references (leaves 73-74). |
en_US |
| dc.description.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. |
en_US |
| dc.description.provenance |
Made available in DSpace on 2005-09-26T20:23:04Z (GMT). No. of bitstreams: 2
56993709.pdf: 2426173 bytes, checksum: a7ef074951d81cb41c9dd58fa24deb3d (MD5)
56993709-MIT.pdf: 2433723 bytes, checksum: 00422fae2a81d4e132c6983a2bcd34df (MD5)
Previous issue date: 2004 |
en |
| dc.description.statementofresponsibility |
by Alexandros Kyriakides. |
en_US |
| dc.format.extent |
74 leaves |
en_US |
| dc.format.extent |
2426173 bytes |
|
| dc.format.extent |
2433723 bytes |
|
| dc.format.mimetype |
application/pdf |
|
| dc.format.mimetype |
application/pdf |
|
| dc.language.iso |
en_US |
|
| dc.publisher |
Massachusetts Institute of Technology |
en_US |
| dc.rights |
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. |
en_US |
| dc.rights.uri |
http://dspace.mit.edu/handle/1721.1/7582 |
|
| dc.subject |
Electrical Engineering and Computer Science. |
en_US |
| dc.title |
Supervised information retrieval for text and images |
en_US |
| dc.type |
Thesis |
en_US |
| dc.description.degree |
M.Eng. |
en_US |
| dc.contributor.department |
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. |
en_US |
| dc.identifier.oclc |
56993709 |
en_US |
