Multiple Media Correlation

  • Charles B. Owen
  • Fillia Makedon
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 513)

Abstract

This chapter develops general models that form the framework for computed synchronization solutions. The goal of computed synchronization is the automatic determination of causal and spatial synchronization among media objects. The models that are developed provide a basis for the construction of solutions to real-world problems in media synchronization, as well as a basis for proving solution validity. Techniques based on these models are collectively referred to as multiple media correlation (MMC). Chapter 4 presents algorithmic approaches to solving these models.

Keywords

Problem Instance Spatial Normalization Dynamic Time Warping Speech Recognition System Media Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

  1. [95]
    Charles B. Owen and Fillia Makedon. Multiple media stream data analysis: Theory and applications. In I. Balderjahn, R. Mather, and M. Schader, editors, Data Highways and Information Flooding, a Challenge for Classification and Data Analysis. Springer-Verlag, 1997.Google Scholar
  2. [89]
    Charles B. Owen. Application of multiple media stream correlation to functional imaging of the brain. In Proceedings of the International Conference on Vision, Recognition, Action: Neural Models of Mind and Machine, Boston, MA, 1997.Google Scholar
  3. [96]
    Charles B. Owen and Fillia Makedon. Multiple media stream data analysis: Theory and applications (extended version). Technical Report PCS-TR97-321, Dartmouth College, 1997.Google Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

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

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