Paper Info
Title
New Frontiers For Intelligent Content-Based Retrieval
Abstract
In this paper, we examine emerging frontiers in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the capabilities of the systems to build and maintain situational or world models, utilize dynamic knowledge representations, exploit context, and leverage advanced reasoning and learning capabilities. We argue that these elements are essential to producing effective systems for retrieving audio-visual content at semantic levels matching those of human. perception and cognition. In this paper, we review relevant research on the understanding of human intelligence and construction of intelligent systems in the fields of cognitive psychology, artificial intelligence, semiotics, and computer vision. We also discuss how some of the principal ideas from these fields lead to new opportunities and capabilities for content-based retrieval systems. Finally, we describe some of our efforts in these directions. In particular, we present MediaNet, a multimedia knowledge presentation framework and some MPEG-7 description tools that facilitate and enable intelligent content-based retrieval.
Year
DOI
Venue
2001
10.1117/12.410922
STORAGE AND RETRIEVAL FOR MEDIA DATABASES 2001
Keywords
Field
DocType
intelligent content-based retrieval, cognitive psychology, artificial intelligence, semiotics, dynamic knowledge, context, reasoning, learning, MediaNet, MPEG-7
Data science,Knowledge representation and reasoning,Marketing and artificial intelligence,Intelligent decision support system,Semiotics,Human intelligence,Computer science,Upload,Exploit,Cognition,Multimedia
Conference
Volume
ISSN
Citations 
4315
0277-786X
10
PageRank 
References 
Authors
2.03
12
2
Name
Order
Citations
PageRank
Ana B. Benitez134232.32
John R. Smith24939487.88