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Interactive Video

Algorithms and Technologies

  • Riad I. Hammoud

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Riad I. Hammoud
      Pages 3-25
    3. Benoit Huet, Bernard Merialdo
      Pages 27-42
  3. Algorithms I

    1. Front Matter
      Pages 44-44
    2. Yunqiang Chen, Yong Rui
      Pages 67-88
    3. Ognjen Arandjelović, Andrew Zisserman
      Pages 89-105
  4. Algorithms II

    1. Front Matter
      Pages 132-132
    2. Baoxin Li, M. Ibrahim Sezan
      Pages 133-155
  5. Interfaces

    1. Front Matter
      Pages 188-188
    2. Andreas Girgensohn, Frank Shipman, John Adcock, Matthew Cooper, Lynn Wilcox
      Pages 207-224
  6. Back Matter
    Pages 225-250

About this book

Introduction

This is a groundbreaking resource that covers both algorithms and technologies of interactive videos, so that businesses in IT and data managements, scientists, teachers, and software engineers in video processing and computer vision, coaches and instructors that use video technology in teaching, and finally end-users of hyper videos will greatly benefit from it. This comprehensive four part book contains excellent scientific and up-to-date contributions made by a number of pioneering scientists, futurists and experts in the field. The first part introduces the reader to interactive and hyper video rhetoric, algorithms and technologies. It also presents effective automatic audio-video summarization methodologies. In the second part, a list of advanced computer vision and signal processing algorithms and systems for automatic and semiautomatic analysis and editing of audio-video documents are presented. The third part tackles a more challenging level of the transformation from raw to enriched video format, filtering of the video content by extracting and linking of highlights, events, and meaningful semantic units. In particular, a detailed example of the Computational Media Aesthetics approach at work towards understanding the semantics of instructional media through automated analysis for e-learning content annotation is presented. The last part is reserved for interactive video searching engines, non-linear video content browsing and quick video navigational systems.

Keywords

Audio Navigation Video Retrieval algorithm algorithms classification cognition computation computer vision detection e-learning filtering human-computer interaction (HCI) information media management multimedia pattern recognition segmentation semantics video

Editors and affiliations

  • Riad I. Hammoud
    • 1
  1. 1.Delphi Electronics and Safety World HeadquartersKokomo, IndianaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-33215-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-33214-5
  • Online ISBN 978-3-540-33215-2
  • Series Print ISSN 1860-4862
  • Buy this book on publisher's site
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