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Understanding-Oriented Multimedia Content Analysis (Springer Theses)

Understanding-Oriented Multimedia Content Analysis (Springer Theses)

Understanding-Oriented Multimedia Content Analysis (Springer Theses)
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Understanding-Oriented Multimedia Content Analysis (Springer Theses) Hardback - 2017

by Li, Zechao

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Springer, 2017-06-06. 1st ed. 2017. hardcover. New. 6.14x0.44x9.21. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Understanding-Oriented Multimedia Content Analysis (Springer Theses)
  • Author Li, Zechao
  • Binding Hardback
  • Edition 1st ed. 2017
  • Condition New
  • Pages 156
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2017-06-06
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # DADAX9811036888
  • ISBN 9789811036880 / 9811036888
  • Weight 0.94 lbs (0.43 kg)
  • Dimensions 9.21 x 6.14 x 0.44 in (23.39 x 15.60 x 1.12 cm)
  • Size 6.14x0.44x9.21
  • Category Computers - General Information
  • Dewey Decimal Code 005.437
  • Quantity available 1

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Reader reviews for Understanding-Oriented Multimedia Content Analysis (Springer Theses)

From the rear cover

This book offers a systematic introduction to an understanding-oriented approach to multimedia content analysis. It integrates the visual understanding and learning models into a unified framework, within which the visual understanding guides the model learning while the learned models improve the visual understanding. More specifically, it discusses multimedia content representations and analysis including feature selection, feature extraction, image tagging, user-oriented tag recommendation and understanding-oriented multimedia applications. The book was nominated by the University of Chinese Academy of Sciences and China Computer Federation as an outstanding PhD thesis. By providing the fundamental technologies and state-of-the-art methods, it is a valuable resource for graduate students and researchers working in the field computer vision and machine learning.

About the author

Zechao Li is an associate professor at the School of Computer Science, Nanjing University of Science and Technology, China. He received his B.E. degree from the University of Science and Technology of China (USTC), Anhui Province, China, in 2008, and his Ph.D degree in Pattern Recognition and Intelligent Systems from the National Laboratory of Pattern Recognition, Institute of Automation, the Chinese Academy of Sciences in 2013. His research interests include machine learning, subspace learning and multimedia understanding. He is the recipient of the 2015 Excellent Doctoral Dissertation from the Chinese Academy of Sciences, the 2015 Excellent Doctoral Dissertation from the China Computer Federation and the 2013 Chinese Academy of Science President Scholarship. He also received the Top 10% Paper Award at MMSP 2015.
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