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Computed Synchronization for Multimedia Applications

  • Charles B. Owen
  • Fillia Makedon

Table of contents

  1. Front Matter
    Pages i-xv
  2. Charles B. Owen, Fillia Makedon
    Pages 1-11
  3. Charles B. Owen, Fillia Makedon
    Pages 13-38
  4. Charles B. Owen, Fillia Makedon
    Pages 39-55
  5. Charles B. Owen, Fillia Makedon
    Pages 57-92
  6. Charles B. Owen, Fillia Makedon
    Pages 93-115
  7. Charles B. Owen, Fillia Makedon
    Pages 117-147
  8. Charles B. Owen, Fillia Makedon
    Pages 149-168
  9. Charles B. Owen, Fillia Makedon
    Pages 169-178
  10. Back Matter
    Pages 179-226

About this book

Introduction

Multimedia is changing the design of database and information retrieval systems. The accumulation of audio, image, and video content is of little use in these systems if the content cannot be retrieved on demand, a critical requirement that has led to the development of new technologies for the analysis and indexing of media data. In turn, these technologies seek to derive information or features from a data type that can facilitate rapid retrieval, efficient compression, and logical presentation of the data. Significant work that has not been addressed, however, is the benefits of analyzing more than one data type simultaneously. Computed Synchronization for Multimedia Applications presents a new framework for the simultaneous analysis of multiple media data objects. The primary benefit of this analysis is computed synchronization, a temporal and spatial alignment of multiple media objects.
Computed Synchronization for Multimedia Applications also presents several specific applications and a general structure for the solution of computed synchronization problems. The applications demonstrate the use of this structure. Two applications in particular are described in detail: the alignment of text to speech audio, and the alignment of simultaneous English language translations of ancient texts. Many additional applications are discussed as future uses of the technology.
Computed Synchronization for Multimedia Applications is useful to researchers, students, and developers seeking to apply computed synchronization in many fields. It is also suitable as a reference for a graduate-level course in multimedia data retrieval.

Keywords

Audio algorithms database information information retrieval multimedia video

Authors and affiliations

  • Charles B. Owen
    • 1
  • Fillia Makedon
    • 2
  1. 1.Michigan State UniversityUSA
  2. 2.Dartmouth CollegeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-4830-7
  • Copyright Information Springer-Verlag US 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-5093-2
  • Online ISBN 978-1-4757-4830-7
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site