Abstract/Details

Issues in visual querying and indexing for the efficient retrieval -by -content of arrangements of point objects


2007 2007

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Abstract (summary)

In the context of computer science, an index is a data structure that enables the efficient retrieval of specific items from a collection of data. An image database is a collection of digitized map images, with relevant objects or features represented by symbols. One search method for such a database is to determine the set of images that contain a desired arrangement of symbols. Examples are presented of index data structures to support the position-independent search of an image database, where the absolute positions of the symbols within the image are unimportant, and only the relative spatial relationships of the symbols are significant. By separating the size, shape, and orientation attributes of an arrangement, these index structures support efficient searching that is either size-dependent or size-independent, and either orientation-dependent or orientation-independent. The visual language of an existing retrieval-by-content image database system is extended to allow intuitive control of the additional search flexibility.

Indexing (details)


Subject
Computer science
Classification
0984: Computer science
Identifier / keyword
Applied sciences; Iconic databases; Indexing; Point objects; Retrieval-by-content; Spatial indexing; Visual querying
Title
Issues in visual querying and indexing for the efficient retrieval -by -content of arrangements of point objects
Author
Cranston, Charles Bentley
Number of pages
171
Publication year
2007
Degree date
2007
School code
0117
Source
DAI-B 68/07, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780549162056
Advisor
Samet, Hanan J.
University/institution
University of Maryland, College Park
Department
Computer Science
University location
United States -- Maryland
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3277502
ProQuest document ID
304838265
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304838265
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