Content-based Image Retrieval Based On Emergence Index - Deb, Sagarmay
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Images are being generated at an ever-increasing rate by various sources. They include military purposes, aviation satellites, biomedical purposes, scientific experiments and home entertainment. The approach propagated by image interpretation researchers depends on an integrated feature- extraction. Emergence is a phenomenon where we study the implicit or hidden meaning of an image. We introduce this concept in image database access and retrieval of images using this as an index for retrieval. This would give an entirely different search outcome than ordinary search where emergence is not…mehr

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Produktbeschreibung
Images are being generated at an ever-increasing rate by various sources. They include military purposes, aviation satellites, biomedical purposes, scientific experiments and home entertainment. The approach propagated by image interpretation researchers depends on an integrated feature- extraction. Emergence is a phenomenon where we study the implicit or hidden meaning of an image. We introduce this concept in image database access and retrieval of images using this as an index for retrieval. This would give an entirely different search outcome than ordinary search where emergence is not considered, as consideration of hidden meanings could change the index of search. This concept should be of good use for students and researchers who are working on efficient image retrieval and could give them a new direction in their research.
Autorenporträt
Dr Sagarmay Deb did a B.Sc. in Physics, M.Sc. in Statistics,MBA and a Ph.D.in Computing. He Worked as a computer specialist in various systems development and maintenance projects in India, USA and Australia. Currently he is working as a Lead Lecturer for the Sydney campus of Central Queensland University, Australia.