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Content-Based Analysis of Digital Video

Content-Based Analysis of Digital Video

Content-Based Analysis of Digital Video
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Content-Based Analysis of Digital Video Papeback -

by Alan Hanjalic

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Springer , pp. 212 . Papeback. New.
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Details

  • Title Content-Based Analysis of Digital Video
  • Author Alan Hanjalic
  • Binding Papeback
  • Condition New
  • Pages 193
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date pp. 212
  • Bookseller's Inventory # 697849807
  • ISBN 9781475779196 / 1475779194
  • Weight 0.67 lbs (0.30 kg)
  • Dimensions 9.21 x 6.14 x 0.45 in (23.39 x 15.60 x 1.14 cm)
  • Category Computers - Other Applications
  • Dewey Decimal Code 006.696
  • Quantity available 4

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Reader reviews for Content-Based Analysis of Digital Video

From the publisher

Content-Based Analysis Of Digital Video focuses on fundamental issues underlying the development of content access mechanisms for digital video. It treats topics that are critical to successfully automating the video content extraction and retrieval processes, and includes coverage of:

- Video parsing,

- Video content indexing and representation,

- Affective video content analysis.

In this well illustrated book the author integrates related information currently scattered throughout the literature and combines it with new ideas into a unified theoretical approach to video content analysis. The material also suggests ideas for future research.
Systems developers, researchers and students working in the area of content-based analysis and retrieval of video and multimedia in general will find this book invaluable.

About the author

Dr. Hanjalic is an Assistant Professor in the Department of Mediamatics at Delft University of Technology, The Netherlands. He was a visiting scientist at Hewlett-Packard Labs in Palo Alto, CA, a visiting scientist at Philips Research Labs in NY as well as a research fellow at British Telecom Labs (now BTExact), Adastral Park, UK. His research interests are in the broad area of multimedia signal processing, with focus on video content analysis for interactive browsing, retrieval and personalized (on-demand) video delivery.
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