Title :
Intelligent User Interface Agents in Content-Based Image Retrieval
Author :
Vermilyer, Robert
Author_Institution :
Saint Thomas Aquinas Coll., NY
fDate :
March 31 2005-April 2 2005
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;
Conference_Titel :
SoutheastCon, 2006. Proceedings of the IEEE
Conference_Location :
Memphis, TN
Print_ISBN :
1-4244-0168-2
DOI :
10.1109/second.2006.1629338
