Wiley.-.Big.Data.Analytics.For.Large.Scale.Multimedia.Search.2019.Retail.EPUB.eBook-BitBook

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Date
2021-02-01

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 ■▀▀▀   ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀  ░ BitBook Presents ░  ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀■

              Big Data Analytics For Large-Scale Multimedia Search              
   by Stefanos Vrochidis, Benoit Huet, Edward Y. Chang, Ioannis Kompatsiaris    
                                    (p)Wiley                                    

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                        ▀▄▀                          ▀▄▀
   DATE: 01-02-2021      ▓   SIZE: 18.69 MB           ▓   PAGES: n/a           
   FORMAT: EPUB          ▒   DISKS: 1x50.00MB         ▒   EDITION: n/a          
   LANGUAGE: English     ░   ISBN: 9781119376972      ░   REMOVED: DRM

                              https://is.gd/L3vBEq                              

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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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