DocumentCode
1900207
Title
Intelligent User Interface Agents in Content-Based Image Retrieval
Author
Vermilyer, Robert
Author_Institution
Saint Thomas Aquinas Coll., NY
fYear
2005
fDate
March 31 2005-April 2 2005
Firstpage
136
Lastpage
142
Abstract
The ability to browse and retrieve images based upon image content is of rapidly growing importance. This paper describes a content-based image retrieval (CBIR) system that combines dynamic, user-driven search capabilities. The system´s ability to support both query-by-sketch and query-by-example is enhanced by the use of intelligent user interface agents (UIAs). The UIAs use both neural networks and an expert reasoning system to assist with relevance feedback. In addition to describing the system, a new CBIR evaluation metric is presented
Keywords
content-based retrieval; graphical user interfaces; image retrieval; software agents; content-based image retrieval; expert reasoning system; image content; intelligent user interface agents; query-by-example; query-by-sketch; user-driven search capabilities; Content based retrieval; Educational institutions; Image databases; Image resolution; Image retrieval; Intelligent agent; Neural networks; Neurofeedback; Taxonomy; User interfaces;
fLanguage
English
Publisher
ieee
Conference_Titel
SoutheastCon, 2006. Proceedings of the IEEE
Conference_Location
Memphis, TN
Print_ISBN
1-4244-0168-2
Type
conf
DOI
10.1109/second.2006.1629338
Filename
1629338
Link To Document