Intelligent Systems Reference Library

Recent Advances in Intelligent Image Search and Video Retrieval

Editors: Liu, Chengjun (Ed.)

  • Presents advanced pattern recognition and machine learning methods using sparse representation and
  • Introduces innovative similarity
  • Addresses both theory and practice
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Buy this book

eBook $189.00
price for USA in USD (gross)
  • ISBN 978-3-319-52081-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-319-52080-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval. It subsequently presents novel methods, such as improved soft assignment coding, Inheritable Color Space (InCS) and the Generalized InCS framework, the sparse kernel manifold learner method, the efficient Support Vector Machine (eSVM), and the Scale-Invariant Feature Transform (SIFT) features in multiple color spaces. Lastly, the book presents clothing analysis for subject identification and retrieval, and performance evaluation methods of video analytics for traffic monitoring. 

Digital images and videos are proliferating at an amazing speed in the fields of science, engineering and technology, media and entertainment. With the huge accumulation of such data, keyword searches and manual annotation schemes may no longer be able to meet the practical demand for retrieving relevant content from images and videos, a challenge this book addresses.This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval. It subsequently presents novel methods, such as improved soft assignment coding, Inheritable Color Space (InCS) and the Generalized InCS framework, the sparse kernel manifold learner method, the efficient Support Vector Machine (eSVM), and the Scale-Invariant Feature Transform (SIFT) features in multiple color spaces. Lastly, the book presents clothing analysis for subject identification and retrieval, and performance evaluation methods of video analytics for traffic monitoring.

Digital images and videos are proliferating at an amazing speed in the fields of science, engineering and technology, media and entertainment. With the huge accumulation of such data, keyword searches and manual annotation schemes may no longer be able to meet the practical demand for retrieving relevant content from images and videos, a challenge this book addresses.

Table of contents (9 chapters)

  • Feature Representation and Extraction for Image Search and Video Retrieval

    Liu, Qingfeng (et al.)

    Pages 1-19

  • Learning and Recognition Methods for Image Search and Video Retrieval

    Puthenputhussery, Ajit (et al.)

    Pages 21-43

  • Improved Soft Assignment Coding for Image Classification

    Liu, Qingfeng (et al.)

    Pages 45-63

  • Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Verification

    Liu, Qingfeng (et al.)

    Pages 65-89

  • Novel Sparse Kernel Manifold Learner for Image Classification Applications

    Puthenputhussery, Ajit (et al.)

    Pages 91-114

Buy this book

eBook $189.00
price for USA in USD (gross)
  • ISBN 978-3-319-52081-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-319-52080-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Recent Advances in Intelligent Image Search and Video Retrieval
Editors
  • Chengjun Liu
Series Title
Intelligent Systems Reference Library
Series Volume
121
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-52081-0
DOI
10.1007/978-3-319-52081-0
Hardcover ISBN
978-3-319-52080-3
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XVII, 235
Number of Illustrations and Tables
3 b/w illustrations, 85 illustrations in colour
Topics