Publication | Closed Access
Content based image retrieval systems
875
Citations
4
References
1995
Year
Real-time Image AnalysisImage AnalysisInformation RetrievalData ScienceImage Retrieval SystemsImage RetrievalPattern RecognitionImage-based ModelingRelevant ImagesEngineeringHome Entertainment SystemsImage DatabaseComputer ScienceContent-based Image RetrievalImage SearchComputer VisionMultimedia DatabasesImage Understanding
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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