Content-Based Image and Video Retrieval

Released on by Oge Marques
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  • Content-Based Image and Video Retrieval Book Detail

  • Author : Oge Marques
  • Release Date : 2012-12-06
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 189
  • ISBN 13 : 1461509874
  • File Size : 90,90 MB
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Content-Based Image and Video Retrieval by Oge Marques PDF Summary

Book Description: Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.

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Content-Based Image and Video Retrieval

Content-Based Image and Video Retrieval

File Size : 42,42 MB
Total View : 7316 Views
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Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discu

Content-Based Video Retrieval

Content-Based Video Retrieval

File Size : 9,9 MB
Total View : 733 Views
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The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for

Content-Based Video Retrieval

Content-Based Video Retrieval

File Size : 42,42 MB
Total View : 1326 Views
DOWNLOAD

The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for