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;
