Prince, Md. Enamul Hoque (2011) Concept-based query expansion and interactive visualization for web image search. Masters thesis, Memorial University of Newfoundland.
- Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
Even though Web image search queries are often ambiguous, traditional search engines promote not only the most common interpretations of the query, which makes it difficult for the searcher to find the desired images. For addressing this problem, a concept-based query expansion technique is used to generate a diverse range of images covering multiple interpretations of the query. Then, a multi-resolution extension of a Self-Organizing Map is used to group conceptually and visually similar images. The resulting interface, named concept-based image search system (CBIS), allows the search to interactively highlight and filter images based on the concepts and zoom into an area within the image space to show additional images that are similar. Finally, a query refinement approach is proposed, which enables enhancement of queries based on explicitly selecting concepts or extracting concepts from example images. A series of evaluations illustrate the potential benefits of the system.
|Item Type:||Thesis (Masters)|
|Additional Information:||Includes bibliographical references (leaves 140-152).|
|Department(s):||Science, Faculty of > Computer Science|
|Library of Congress Subject Heading:||Image processing--Digital techniques; Querying (Computer science); Web search engines|
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