NDLI: Issues and directions in visual information retrieval

Content Provider	IEEE Xplore Digital Library
Author	Del Bimbo, A.
Copyright Year	2000
Description	Author affiliation: Dipt. de Sistemi e Inf., Florence Univ., Italy (Del Bimbo, A.)
Abstract	Visual information retrieval is attracting an increasing number of researchers from disparate fields, like image analysis, computer vision, databases, knowledge representation, artificial intelligence, man-machine interaction. Although a number of prototype systems have been made available, nevertheless this discipline has not yet reached a mature stage, and overall has not yet been credited as of concrete use in practical applications. Among the very many different lines of development we focus particularly on the importance of bridging the semantic gap between the user and visual information retrieval systems. We focus on usage of semiotics as a framework for extraction of semantics, graphs and graph matching as the representation model and retrieval engine and visualization spaces to capture semantics during the interaction.
Starting Page	31
Ending Page	38
File Size	855735
Page Count	8
File Format	PDF
ISBN	0769507506
ISSN	10514651
DOI	10.1109/ICPR.2000.902859
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-03
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information retrieval Image retrieval Image analysis Computer vision Image databases Visual databases Knowledge representation Artificial intelligence Man machine systems Prototypes
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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