Authors:
Liam M. Mayron
and
Oge Marques
Affiliation:
Florida Atlantic University, United States
Keyword(s):
Image retrieval, image annotation, web-based interface.
Related
Ontology
Subjects/Areas/Topics:
Multimedia and User Interfaces
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
In this work we present a new interface for image retrieval system that highlights the potential of a real-time,
Web-based application. This system, the Perceptually-Relevant Image Search Machine (PRISM), combines
the capabilities of content-based, content-free, and semantic annotation-based image retrieval. Each of the
aforementioned image retrieval methods has its own strengths, weaknesses, and impracticalities. It is our hope
that the PRISM interface, by enabling the simultaneous expression of all three methods, will lead to more
robust image retrieval systems.