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Autor(en): 
  • David D. Zhang
  • Xiaobo Li
  • Zhiyong Liu
  • Data Management and Internet Computing for Image/Pattern Analysis 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  November 2012  
    Genre:  EDV / Informatik 
     
    Algorithmen und Datenstrukturen / algorithms and data structures / Bildverarbeitung / C / Computer Imaging, Vision, Pattern Recognition and Graphics / computer science / Computer Vision / Data structures (Computer science)
    ISBN:  9781461355984 
    EAN-Code: 
    9781461355984 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #11 - The International Series on Asian Studies in Computer and Information Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  593 gr 
    Seiten:  367 
    Illustration:  XVI, 367 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Data Management and Internet Computing for Image/Pattern Analysis focuses on the data management issues and Internet computing aspect of image processing and pattern recognition research. The book presents a comprehensive overview of the state of the art, providing detailed case studies that emphasize how image and pattern (IAP) data are distributed and exchanged on sequential and parallel machines, and how the data communication patterns in low- and higher-level IAP computing differ from general numerical computation, what problems they cause and what opportunities they provide. The studies also describe how the images and matrices should be stored, accessed and distributed on different types of machines connected to the Internet, and how Internet resource sharing and data transmission change traditional IAP computing.
    Data Management and Internet Computing for Image/Pattern Analysis is divided into three parts: the first part describes several software approaches to IAP computing, citing several representative data communication patterns and related algorithms; the second part introduces hardware and Internet resource sharing in which a wide range of computer architectures are described and memory management issues are discussed; and the third part presents applications ranging from image coding, restoration and progressive transmission.
    Data Management and Internet Computing for Image/Pattern Analysis is an excellent reference for researchers and may be used as a text for advanced courses in image processing and pattern recognition.
      



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