Fast interactive object delineation in images for content based retrieval and navigation
Fast interactive object delineation in images for content based retrieval and navigation
Techniques for navigating through and retrieving information from text documents are widely understood and there are many tools that support their use. By contrast the extension to non-text information such as image, video, and sound is much less widely supported, partly due to the fact that the fundamental operations of selection and matching are not as well defined as they are for text.
This thesis is concerned with the development of interactive techniques for fast object delineation in images, and the use of those selections for content based retrieval and content based navigation in MAVIS, the Multimedia Architecture for Video, Image, and Sound. A new methodology for interactive image segmentation is presented, in which image selections are made through the iterative application of a number of interactive tools. Design, implementation, and testing of the new methodology is facilitated through the development of a novel extensible image viewer, and examples of the use of the interactive system are shown and compared with the previous manual selection techniques. Examples of image retrieval and navigation using the outlines of the extracted shapes are then demonstrated using MAVIS and a new shape matching module.
University of Southampton
1998
Perry, Stephen Tristram
(1998)
Fast interactive object delineation in images for content based retrieval and navigation.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
Techniques for navigating through and retrieving information from text documents are widely understood and there are many tools that support their use. By contrast the extension to non-text information such as image, video, and sound is much less widely supported, partly due to the fact that the fundamental operations of selection and matching are not as well defined as they are for text.
This thesis is concerned with the development of interactive techniques for fast object delineation in images, and the use of those selections for content based retrieval and content based navigation in MAVIS, the Multimedia Architecture for Video, Image, and Sound. A new methodology for interactive image segmentation is presented, in which image selections are made through the iterative application of a number of interactive tools. Design, implementation, and testing of the new methodology is facilitated through the development of a novel extensible image viewer, and examples of the use of the interactive system are shown and compared with the previous manual selection techniques. Examples of image retrieval and navigation using the outlines of the extracted shapes are then demonstrated using MAVIS and a new shape matching module.
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Published date: 1998
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Local EPrints ID: 463668
URI: http://eprints.soton.ac.uk/id/eprint/463668
PURE UUID: 0c7faede-ee63-41b3-89e3-dba28bedceda
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Date deposited: 04 Jul 2022 20:55
Last modified: 04 Jul 2022 20:55
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Author:
Stephen Tristram Perry
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