Skip to main content

Motion Estimation

  • Reference work entry
  • 158 Accesses

Definition:Motion estimation explores the temporal redundancy, which is inherent in video sequences, and it represents a basis for lossy video compression.

Other than video compression, motion estimation can also be used as the basis for powerful video analysis and video processing.

Introduction

A standard movie, which is also known as motion picture, can be defined as a sequence of several scenes. A scene is then defined as a sequence of several seconds of motion recorded without interruption. A scene usually has at least three seconds [2]. A movie in the cinema is shown as a sequence of still pictures, at a rate of 24 frames per second. Similarly, a TV broadcast consists of a transmission of 30 frames per second (NTSC, and some flavors of PAL, such as PAL-M), 25 frames per second (PAL, SECAM) or anything from 5 to 30 frames per second for typical videos in the Internet. The name motion picturecomes from the fact that a video, once encoded, is nothing but a sequence of still...

This is a preview of subscription content, log in via an institution.

References

  1. V. Bhaskaran and K. Konstantinides, “Image and Video Compression Standards: Algorithms and Architectures,” 2nd Edition, Kluwer Academic Publishers, 1997, ISBN: 0792399528.

    Google Scholar 

  2. F. Halsall, “Multimedia Communications — Applications, Networks, Protocols and Standards,” Addison Wesley, 2001, ISBN: 0201398184.

    Google Scholar 

  3. G. Ahanger and T.D.C. Little, “A Survey of Technologies for Parsing and Indexing Digital Video,” MCL Technical Report 11-01-95, Multimedia Communication Laboratory, Boston University, 1995.

    Google Scholar 

  4. I. Grinias and G. Tziritas, “Robust pan, tilt and zoom estimation,” International Conference on Digital Signal Processing, 2002.

    Google Scholar 

  5. G. Khne, S. Richter, and M. Beier, “Motion-based segmentation and contour-based classification of video objects,” ACM Multimedia 2001, Ottawa, Ontario.

    Google Scholar 

  6. R. Strzodka and C. Garbe, “Real-Time Motion Estimation and Visualization on Graphics Cards,” Proceedings of the IEEE Visualization 2004 (VIS’04).

    Google Scholar 

  7. C. Sanz, M. J. Garrido, and J. M. Meneses, “VLSI Architecture for Motion Estimation using the Block-Matching Algorithm,” Proceedings of the European conference on Design and Test, 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer Science+Business Media, Inc.

About this entry

Cite this entry

de Oliveira, J.C. (2006). Motion Estimation. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/0-387-30038-4_131

Download citation

Publish with us

Policies and ethics