395,54 €
439,49 €
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Web Semantics for Textual and Visual Information Retrieval
Web Semantics for Textual and Visual Information Retrieval
395,54
439,49 €
  • We will send in 10–14 business days.
Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledg…
  • Publisher:
  • Year: 2017
  • Pages: 320
  • ISBN-10: 1522524835
  • ISBN-13: 9781522524830
  • Format: 17.8 x 25.4 x 1.9 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Web Semantics for Textual and Visual Information Retrieval (e-book) (used book) | bookbook.eu

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Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.

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  • Publisher:
  • Year: 2017
  • Pages: 320
  • ISBN-10: 1522524835
  • ISBN-13: 9781522524830
  • Format: 17.8 x 25.4 x 1.9 cm, hardcover
  • Language: English English

Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.

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