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Design and implementation of an expressive query interface/language for image database Faulus, Dwifiandika S.
Abstract
One key component in providing effective image data management support is an expressive query language/interface. The query languages and interfaces of existing image database systems are quite adequate for image databases where the images are different. However, for many applications, such as remote-sensing and medicine, where the images are similar, most of the existing languages are restrictive since tools are not provided for the users to express subtle differences that may exist between the images that the users want and hundreds of images that are similar. The goal of this thesis is to provide a more expressive query language/interface that can accomodate querying image database for such applications. Toward this goal, we have proposed the concept of range specifications to queries. A range specification allows the user's ambiguities in specifying various visual image features for the query to be captured and incorporated to the similarity matching process. The result of a query is typically n images I₁,….,In that are the closest matches to the query. The reformulation language supported by existing systems is typically in the form of "like-this" query (e.g., Ii) that would return n closest matches to 74-. We have proposed 'like-this-in-what' reformulation language which allows the user to express not only 'like-this' query, but also specific aspects that the user wants to include or exclude. More formally, 'like-this-in-what' reformulation language allows not only queries of the form but also of the more general form: (Ii – 8i- ßi) + (Ii, - 8i +ßi) + ••• Last but not least, we have designed and implemented a prototype query language/interface called EXQUISI ( Expressive Query Interface and language for .Similar /mages) which incorporates the above concepts. In Exquisi, we give examples how range specifications can be incorporated into the image features by introducing query features which include color range, color gradient, texture set, and location box. We also shows how 'like-this-in-what' reformulation can be incorporated in Exquisi so as to minimize the cost of reformulating the query and to maximize the expressiveness of the query reformulation.
Item Metadata
Title |
Design and implementation of an expressive query interface/language for image database
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1996
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Description |
One key component in providing effective image data management support
is an expressive query language/interface. The query languages and interfaces of
existing image database systems are quite adequate for image databases where the
images are different. However, for many applications, such as remote-sensing and
medicine, where the images are similar, most of the existing languages are restrictive
since tools are not provided for the users to express subtle differences that may exist
between the images that the users want and hundreds of images that are similar.
The goal of this thesis is to provide a more expressive query language/interface
that can accomodate querying image database for such applications. Toward this
goal, we have proposed the concept of range specifications to queries. A range specification
allows the user's ambiguities in specifying various visual image features for
the query to be captured and incorporated to the similarity matching process.
The result of a query is typically n images I₁,….,In that are the closest
matches to the query. The reformulation language supported by existing systems
is typically in the form of "like-this" query (e.g., Ii) that would return n closest
matches to 74-. We have proposed 'like-this-in-what' reformulation language which
allows the user to express not only 'like-this' query, but also specific aspects that the
user wants to include or exclude. More formally, 'like-this-in-what' reformulation
language allows not only queries of the form but also of the more general form: (Ii – 8i- ßi) + (Ii, - 8i +ßi) + •••
Last but not least, we have designed and implemented a prototype query
language/interface called EXQUISI ( Expressive Query Interface and language for
.Similar /mages) which incorporates the above concepts. In Exquisi, we give examples
how range specifications can be incorporated into the image features by introducing
query features which include color range, color gradient, texture set, and location
box. We also shows how 'like-this-in-what' reformulation can be incorporated in
Exquisi so as to minimize the cost of reformulating the query and to maximize the
expressiveness of the query reformulation.
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Extent |
8971070 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-02-16
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0051362
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1996-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.