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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| Language: | eng |
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Hoboken, NJ : Wiley,
2019
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| _version_ | 1826468944945348608 |
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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. |
| first_indexed | 2024-03-05T16:25:56Z |
| format | |
| id | KOHA-OAI-TEST:558178 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T16:25:56Z |
| publishDate | 2019 |
| publisher | Hoboken, NJ : Wiley, |
| record_format | dspace |
| 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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