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Semantic Video Object Segmentation for Content-Based Multimedia Applications

  • Ju Guo
  • C.-C. Jay Kuo

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Ju Guo, C.-C. Jay Kuo
    Pages 1-7
  3. Ju Guo, C.-C. Jay Kuo
    Pages 9-27
  4. Ju Guo, C.-C. Jay Kuo
    Pages 29-43
  5. Ju Guo, C.-C. Jay Kuo
    Pages 45-51
  6. Ju Guo, C.-C. Jay Kuo
    Pages 53-73
  7. Ju Guo, C.-C. Jay Kuo
    Pages 75-93
  8. Ju Guo, C.-C. Jay Kuo
    Pages 95-97
  9. Back Matter
    Pages 99-109

About this book

Introduction

Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously.
Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields.

Keywords

Processing Standards algorithms coding image sequences information multimedia performance video

Authors and affiliations

  • Ju Guo
    • 1
  • C.-C. Jay Kuo
    • 2
  1. 1.Intervideo Inc.USA
  2. 2.University of Southern CaliforniaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1503-6
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5586-1
  • Online ISBN 978-1-4615-1503-6
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site