DocumentCode
1123764
Title
Content based image retrieval systems
Author
Gudivada, Venkat N. ; Raghavan, Vijay V.
Author_Institution
Ohio Univ., Athens, OH
Volume
28
Issue
9
fYear
1995
fDate
9/1/1995 12:00:00 AM
Firstpage
18
Lastpage
22
Abstract
Images are being generated at an ever-increasing rate by sources such as defence and civilian satellites, military reconnaissance and surveillance flights, fingerprinting and mug-shot-capturing devices, scientific experiments, biomedical imaging, and home entertainment systems. For example, NASA´s Earth Observing System will generate about 1 terabyte of image data per day when fully operational. A content-based image retrieval (CBIR) system is required to effectively and efficiently use information from these image repositories. Such a system helps users (even those unfamiliar with the database) retrieve relevant images based on their contents. Application areas in which CBIR is a principal activity are numerous and diverse. With the recent interest in multimedia systems, CBIR has attracted the attention of researchers across several disciplines
Keywords
data structures; image representation; information retrieval; multimedia computing; relevance feedback; visual databases; content based image retrieval systems; generic query classes; image data; multimedia systems; natural language query; query-specification scheme; relevance feedback; retrieval effectiveness; similarity-based retrieval; Biomedical imaging; Content based retrieval; Earth Observing System; Fingerprint recognition; Image generation; Image retrieval; Information retrieval; Military satellites; Reconnaissance; Surveillance;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/2.410145
Filename
410145
Link To Document