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