Content based image retrieval systems

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...

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Published in:Computer (Long Beach, Calif.) Calif.), 1995-09, Vol.28 (9), p.18-22
Main Authors: Gudivada, V.N., Raghavan, V.V.
Format: Article
Language:English
Subjects:
Biomedical imaging
Computer graphics
Content based retrieval
Earth Observing System
Fingerprint recognition
Image generation
Image retrieval
Information retrieval
Military satellites
Reconnaissance
Surveillance
Technology
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description 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.< >
doi_str_mv 10.1109/2.410145
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1558-0814
language eng
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source IEEE Xplore (Online service)
subjects Biomedical imaging
Computer graphics
Content based retrieval
Earth Observing System
Fingerprint recognition
Image generation
Image retrieval
Information retrieval
Military satellites
Reconnaissance
Surveillance
Technology
title Content based image retrieval systems
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