Dissertation Information for Xiangdong Ke NAME: - Xiangdong Ke
DEGREE:
- Ph.D.
DISCIPLINE:
- Library and Information Science
SCHOOL:
- University of Hawaii (USA) (1997)
ADVISORS: - Stephen Y. Itoga
COMMITTEE MEMBERS: - Larry N. Osborne - Dan J. Wedemeyer - Martha E. Crosby - Russell Shelley Yost
MPACT Status: Fully Complete
Title: GOURD: An object-oriented uncertainty retrieval approach for graphics databases
Abstract: Computer graphics is an important area in multimedia technologies and applications. Due to their popularity, graphic development and manipulation environments are receiving much attention. One problem with computer graphics is the issue of managing the resulting information. There are the related issues of data sharing and efficient reuse of these resources. The issues all refer to retrieving graphic data efficiently.
Computer graphics is closely related to geometric properties of objects. From an object-oriented view, the graphic objects in an image or animation can be considered as objects, and geometric relationships between graphic objects as their behavior. The behavior can be represented by spatial and spatial-temporal relationships.
There is a traditional certainty approach to address graphics database retrieval. But its limitations are obvious. Using certainty retrieval, one can not control the range of a query with regard to objects and their behavior, and can not do precise queries of object behavior.
To address the above issues in graphics database retrieval, I propose object-oriented notions with uncertainty features for graphics database retrieval. My approach has the following unique features: (1) Fuzzy Object Retrieval. This feature provides similar object retrieval, and enables users to control the search range for the objects to be queried. (2) Uncertainty Retrieval on Spatial and Spatial-Temporal Relationships. This feature enables users to control the range of the query on object behavior; i.e., spatial and spatial-temporal relationships, and provides a method for precise queries on them.
A fuzzy object retrieval model and an uncertainty retrieval model for spatial and spatial-temporal relationships have been developed for the proposed approach. To verify the proposed approach, a prototype system called GOURD (Graphical Object-oriented Uncertainty Retrieval in Databases) has been built. In addition to GOURD, a client/server system, GOURD Server, has been developed so that the proposed approach can be used through the Internet. A detailed theoretical analysis and a discussion on these models will be introduced in subsequent chapters, which form the theoretical basis of the prototype systems--GOURD and GOURD Server. The related analysis and evaluation of GOURD and GOURD Server are also given in this document.
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MPACT Scores for Xiangdong Ke A = 0
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calculated 2008-01-31 06:31:31
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