DocumentCode :
898672
Title :
A Foundational Perspective for Visual Information Retrieval
Author :
Tian, Qi
Author_Institution :
University of Texas at San Antonio
Volume :
13
Issue :
2
fYear :
2006
Firstpage :
90
Lastpage :
92
Abstract :
The author discusses a new book on visual information retrieval (VIR). The fundamental components include visual content description and representation, similarity and distance measures, classifiers, indexing schemes, user interaction, and system performance evaluation.
Keywords :
VIR; classifiers; content-sensitive segmentation; indexing schemes; relevance feedback; small-sample learning algorithms; user interaction; visual data; visual information retrieval; Algorithm design and analysis; Books; Buffer storage; Graphics; Image retrieval; Indexing; Information retrieval; Layout; Negative feedback; Streaming media; VIR; classifiers; content-sensitive segmentation; indexing schemes; relevance feedback; small-sample learning algorithms; user interaction; visual data; visual information retrieval;
fLanguage :
English
Journal_Title :
MultiMedia, IEEE
Publisher :
ieee
ISSN :
1070-986X
Type :
jour
DOI :
10.1109/MMUL.2006.24
Filename :
1621042
Link To Document :
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