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Motion Estimation Algorithms for Video Compression

  • Book
  • © 1997

Overview

Authors:
  1. Borko Furht

    1. Florida Atlantic University, USA

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  2. Joshua Greenberg

    1. Florida Atlantic University, USA

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  3. Raymond Westwater

    1. Florida Atlantic University, USA

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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 379)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-vii
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  2. The Problem of Video Compression

    • Borko Furht, Joshua Greenberg, Raymond Westwater
    Pages 1-11

  3. Video Compression Techniques

    • Borko Furht, Joshua Greenberg, Raymond Westwater
    Pages 13-47

  4. Motion Compensation and Estimation

    • Borko Furht, Joshua Greenberg, Raymond Westwater
    Pages 49-81

  5. Experiments on Current Motion Estimation Techniques

    • Borko Furht, Joshua Greenberg, Raymond Westwater
    Pages 83-103

  6. The Motion Compensation Hypothesis

    • Borko Furht, Joshua Greenberg, Raymond Westwater
    Pages 105-126

  7. Fast Search Algorithms: New Results

    • Borko Furht, Joshua Greenberg, Raymond Westwater
    Pages 127-152

  8. Conclusions and Research Directions

    • Borko Furht, Joshua Greenberg, Raymond Westwater
    Pages 153-156

  9. Back Matter

    Pages 157-164
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Keywords

About this book

Video technology promises to be the key for the transmission of motion video. A number of video compression techniques and standards have been introduced in the past few years, particularly the MPEG-1 and MPEG-2 for interactive multimedia and for digital NTSC and HDTV applications, and H.2611H.263 for video telecommunications. These techniques use motion estimation techniques to reduce the amount of data that is stored and transmitted for each frame. This book is about these motion estimation algorithms, their complexity, implementations, advantages, and drawbacks. First, we present an overview of video compression techniques with an emphasis to techniques that use motion estimation, such as MPEG and H.2611H.263. Then, we give a survey of current motion estimation search algorithms, including the exhaustive search and a number of fast search algorithms. An evaluation of current search algorithms, based on a number of experiments on several test video sequences, is presented as well. The theoretical framework for a new fast search algorithm, Densely-Centered Uniform-P Search (DCUPS), is developed and presented in the book. The complexity of the DCUPS algorithm is comparable to other popular motion estimation techniques, however the algorithm shows superior results in terms of compression ratios and video qUality. We should stress out that these new results, presented in Chapters 4 and 5, have been developed by Joshua Greenberg, as part of his M.Sc. thesis entitled "Densely-Centered Uniform P-Search: A Fast Motion Estimation Algorithm" (FAU, 1996).

Authors and Affiliations

  • Florida Atlantic University, USA

    Borko Furht, Joshua Greenberg, Raymond Westwater

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