2026-09-19T09:07:57Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/167242026-06-05T20:27:19Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Patrick H. Winston.
Kamvysselis, Manolis, 1977-
Marina, Ovidiu, 1975-
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-05-19T14:21:21Z
2005-05-19T14:21:21Z
1999
1999
http://hdl.handle.net/1721.1/16724
43474171
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
Includes bibliographical references (leaves 151-157).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
As digital media become more popular, corporations and individuals gather an increasingly large number of digital images. As a collection grows to more than a few hundred images, the need for search becomes crucial. This thesis is addressing the problem of retrieving from a small database a particular image previously seen by the user. This thesis combines current findings in cognitive science with the knowledge of previous image retrieval systems to present a novel approach to content based image retrieval and indexing. We focus on algorithms which abstract away information from images in the same terms that a viewer abstracts information from an image. The focus in Imagina is on the matching of regions, instead of the matching of global measures. Multiple representations, focusing on shape and color, are used for every region. The matches of individual regions are combined using a saliency metric that accounts for differences in the distributions of metrics. Region matching along with configuration determines the overall match between a query and an image.
by Manolis Kamvysselis and Ovidiu Marina.
S.B.
M.Eng.
157 leaves
3377346 bytes
3377096 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science
Imagina : a cognitive abstraction approach to sketch-based image retrieval
Cognitive abstraction approach to sketch-based image retrieval
Thesis
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