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Addis Ababa University Libraries Electronic Thesis and Dissertations: AAU-ETD! >
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Thesis - Computer Science >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1343
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| Title: | Salient-Object-Based Image Query by Visual Content |
| Authors: | DAWIT, BULCHA |
| Advisors: | Dr. Solomon Atnafu |
| Keywords: | Salient-object-based image retrieval
similarity of salient-objects
image database
similarity-based algebra
spatial relation of salient-objects |
| Copyright: | 2004 |
| Date Added: | 4-Sep-2008 |
| Publisher: | Addis Ababa University |
| Abstract: | The rise in the intense utilization of images in our daily life resulted in a high volume of
images produced from different sectors of human endeavor. This resulted in the need for an
efficient management of image data. Recently, Content-based image retrieval has attracted
much attention from the research community. As exact matching is not possible with image
retrieval, the approach is to use similarity-based matching. Much of the works on similaritybased
image retrieval use the global features (color, shape, texture, etc) of the entire image to
compute similarity score between two images.
Equally important to using the entire image is the use of salient-objects; objects in an image
that are of particular interest to the user, as the basis of similarity-based computation. The
current works on content-based image retrieval do not address very well the issues related to
salient-objects based image retrieval.
In this work, we have proposed an extension to a previous work on image database modeling
and query processing. To support salient object based image retrieval, we have proposed an
extension of the data repository model so that spatial features of contained salient objects are
captured. Moreover, we proposed an extension to the similarity-based selection operator
defined earlier so that salient object based selection operation be part of image database
systems for similarity-based image retrieval. We have also proposed spatial operators that can
be used to compute spatial relation between an image and contained salient objects. We have
reviewed and presented refined formulations of previous works on spatial relations between
objects in 2D space to compute spatial relation between salient objects.
To demonstrate the viability of salient-objects-based image retrieval, we have extended a
previous work named EMIMS, to develop a system named EMIMS-S (Extended Medical
Image Management System to support Salient objects). We have also used this prototype to
experimentally show the retrieval effectiveness of salient-objects-based image queries. |
| Description: | Thesis
Submitted to the School of Graduate Studies of Addis Ababa University in
partial fulfillment of the requirements for the Degree of Master of Science
in Computer Science |
| URI: | http://hdl.handle.net/123456789/1343 |
| Appears in: | Thesis - Computer Science
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