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Big Data Analytics for Large-Scale Multimedia Search (Hardcover)
Loot Price: R3,145
Discovery Miles 31 450
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Big Data Analytics for Large-Scale Multimedia Search (Hardcover)
Expected to ship within 12 - 17 working days
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A timely overview of cutting edge technologies for multimedia
retrieval with a special emphasis on scalability The amount of
multimedia data available every day is enormous and is growing at
an exponential rate, creating a great need for new and more
efficient approaches for large scale multimedia search. This book
addresses that need, covering the area of multimedia retrieval and
placing a special emphasis on scalability. It reports the recent
works in large scale multimedia search, including research methods
and applications, and is structured so that readers with basic
knowledge can grasp the core message while still allowing experts
and specialists to drill further down into the analytical sections.
Big Data Analytics for Large-Scale Multimedia Search covers:
representation learning, concept and event-based video search in
large collections; big data multimedia mining, large scale video
understanding, big multimedia data fusion, large-scale social
multimedia analysis, privacy and audiovisual content, data storage
and management for big multimedia, large scale multimedia search,
multimedia tagging using deep learning, interactive interfaces for
big multimedia and medical decision support applications using
large multimodal data. Addresses the area of multimedia retrieval
and pays close attention to the issue of scalability Presents
problem driven techniques with solutions that are demonstrated
through realistic case studies and user scenarios Includes tables,
illustrations, and figures Offers a Wiley-hosted BCS that features
links to open source algorithms, data sets and tools Big Data
Analytics for Large-Scale Multimedia Search is an excellent book
for academics, industrial researchers, and developers interested in
big multimedia data search retrieval. It will also appeal to
consultants in computer science problems and professionals in the
multimedia industry.
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