EPFL
 Biomedical Imaging GroupSTI
EPFL
  Publications
English only   BIG > Publications > MPEG-4 Data Stream


 CONTENTS
 Home Page
 News & Events
 People
 Publications
 Tutorials and Reviews
 Research
 Demos
 Download Algorithms

 DOWNLOAD
 PDF not available
 PS not available
 All BibTeX References

How to Construct an MPEG4 API: A Videoconference Application Example

L. Peyronny, O. Soligon, C. Roux, O. Avaro, T. Blu

Proceedings of the International Conference on Image and Multidimensional Digital Signal Processing (IMDSP '98), Alpbach , Republic of Austria, July 16, 1998, pp. 111-114.



The construction and animation of face-objects in MPEG-4/SNHC (synthetic natural hybrid coding) systems implies content-based and semantic analysis of the observed 3D scene. These processes require sophisticated image processing tools and algorithms which are time-consuming and also not so suitable for videoconferencing applications. With regard to the coding process following the MPEG-4 standard, it is shown that 4 possible levels of coding are ready-to-send in an MPEG-4 data stream. The main functionalities sought in the MPEG-4 standard are data scalability, user data interactivity and opening to various kinds of coder schemes. With non-high-order semantic interpretation of the observed scene, it is well-known that it is possible to build and animate a facial 3D model. A transcoding system is then needed to fit to the MPEG-4 data stream format.


@INPROCEEDINGS(http://bigwww.epfl.ch/publications/peyronny9801.html,
AUTHOR="Peyronny, L. and Soligon, O. and Roux, C. and Avaro, O. and
        Blu, T.",
TITLE="How to Construct an {MPEG4} {API}: {A} Videoconference
        Application Example",
BOOKTITLE="Proceedings of the International Conference on Image and
        Multidimensional Digital Signal Processing ({IMDSP'98})",
YEAR="1998",
editor="",
volume="",
series="",
pages="111--114",
address="Alpbach, Republic of Austria",
month="July 16,",
organization="",
publisher="",
note="")

© 1998 Image and Multidimensional Digital Signal Processing. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from Image and Multidimensional Digital Signal Processing.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.