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Showing 1 - 4 of 4 matches in All Departments
Video Data Management and Information Retrieval combines the two important areas of research within computer technology and presents them in comprehensive, easy to understand manner. Video Data Management and Information Retrieval is ideal for graduates and under-graduates, as well as researchers working in either video data management or information retrieval. It takes an in depth look at many relevant topics within both video data management and information retrieval. In addition to dissecting those issues, the book also provides a ""big picture"" view of each topic. This shows the relevance of each issue and how those areas affect every one today.
Multimedia systems and content-based image retrieval are very important areas of research in computer technology. Numerous research works are being done in these fields at present. These two areas are changing our life-styles because they together cover creation, maintenance, accessing and retrieval of video, audio, image, textual and graphic data. But still several important issues in these areas remain unresolved and further research works are needed to be done for better techniques and applications. Multimedia Systems and Content-Based Image Retrieval addresses these unresolved issues and highlights current research.
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.
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