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Intelligent Multimedia Data Analysis (Hardcover)
Loot Price: R3,589
Discovery Miles 35 890
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Intelligent Multimedia Data Analysis (Hardcover)
Series: De Gruyter Frontiers in Computational Intelligence
Expected to ship within 12 - 17 working days
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This volume comprises eight well-versed contributed chapters
devoted to report the latest findings on the intelligent approaches
to multimedia data analysis. Multimedia data is a combination of
different discrete and continuous content forms like text, audio,
images, videos, animations and interactional data. At least a
single continuous media in the transmitted information generates
multimedia information. Due to these different types of varieties,
multimedia data present varied degrees of uncertainties and
imprecision, which cannot be easy to deal by the conventional
computing paradigm. Soft computing technologies are quite efficient
to handle the imprecision and uncertainty of the multimedia data
and they are flexible enough to process the real-world information.
Proper analysis of multimedia data finds wide applications in
medical diagnosis, video surveillance, text annotation etc. This
volume is intended to be used as a reference by undergraduate and
post graduate students of the disciplines of computer science,
electronics and telecommunication, information science and
electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL
INTELLIGENCE The series Frontiers In Computational Intelligence is
envisioned to provide comprehensive coverage and understanding of
cutting edge research in computational intelligence. It intends to
augment the scholarly discourse on all topics relating to the
advances in artifi cial life and machine learning in the form of
metaheuristics, approximate reasoning, and robotics. Latest
research fi ndings are coupled with applications to varied domains
of engineering and computer sciences. This field is steadily
growing especially with the advent of novel machine learning
algorithms being applied to different domains of engineering and
technology. The series brings together leading researchers that
intend to continue to advance the fi eld and create a broad
knowledge about the most recent state of the art.
General
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