Big Data Analytics for Large-Scale Multimedia Search /

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...

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Main Authors: Vrochidis, Stefanos, 1975-, editor, Huet, Benoit, editor, Chang, Edward Y., editor, Kompatsiaris, Ioannis, editor
Format:
Language:eng
Published: Hoboken, NJ : Wiley, 2019
Subjects:
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author Vrochidis, Stefanos, 1975-, editor
Huet, Benoit, editor
Chang, Edward Y., editor
Kompatsiaris, Ioannis, editor
author_facet Vrochidis, Stefanos, 1975-, editor
Huet, Benoit, editor
Chang, Edward Y., editor
Kompatsiaris, Ioannis, editor
author_sort Vrochidis, Stefanos, 1975-, editor
collection OCEAN
description 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.
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institution Universiti Teknologi Malaysia - OCEAN
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spelling KOHA-OAI-TEST:5581782020-12-19T17:21:07ZBig Data Analytics for Large-Scale Multimedia Search / Vrochidis, Stefanos, 1975-, editor Huet, Benoit, editor Chang, Edward Y., editor Kompatsiaris, Ioannis, editor Hoboken, NJ : Wiley,2019engThe 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.Includes bibliographical references and index.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.PSZJBL Multimedia data miningBig dataURN:ISBN:9781119376972
spellingShingle Multimedia data mining
Big data
Vrochidis, Stefanos, 1975-, editor
Huet, Benoit, editor
Chang, Edward Y., editor
Kompatsiaris, Ioannis, editor
Big Data Analytics for Large-Scale Multimedia Search /
title Big Data Analytics for Large-Scale Multimedia Search /
title_full Big Data Analytics for Large-Scale Multimedia Search /
title_fullStr Big Data Analytics for Large-Scale Multimedia Search /
title_full_unstemmed Big Data Analytics for Large-Scale Multimedia Search /
title_short Big Data Analytics for Large-Scale Multimedia Search /
title_sort big data analytics for large scale multimedia search
topic Multimedia data mining
Big data
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