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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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