Abstract
There is an increasing interest to specify standardized descriptions of various types of multimedia information. This description will be associated with the content itself, to allow fast and efficient searching for material that is of interest to the user. This effort is being conducted within the activities of the new standard MPEG-7. It is in this context that Face Detection and Recognition acquire a renovated interest and there is a need to develop new tools that may help the user that browse a data base or a video sequence to find specific persons. The objective of this paper is to provide an updated information of the related activities done in the Hypermedia ACTS European project.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
L. Lorente, L. Torres, “A global eigen approach for face recognition”, International Workshop on Very Low Bit-rate Video Coding, Urbana, Illinois, October 8–9, 1998.
M. A. Turk, A. P. Pentland, “Face recognition using eigenfaces”, Proceedings of the IEEE Computer Society Conf. on Computer Vision and Patter Recognition, pp. 586–591, Maui, Hawaii 1991.
R. Chellappa, C. L. Wilson, S. Sirohey, Human and machine recognition of faces: a survey, Proceedings of the IEEE, Volume 83, No. 5, pp. 705–740, May 1995.
J. Zhang, Y. Yan, M. Lades, “Face recognition: eigenface, elastic matching, and neural nets”, Proceedings of the IEEE, Vol. 85, No. 9, pp. 1423–1435, September 1997.
ISO/IEC JTC1/SC29/WG11. MPEG Requirements Group. “MPEG-7: Context and Objectives”, Doc. ISO/MPEG N2460, October 1998 / Atlantic City, USA.
S. McKenna, S. Gong, Y. Raja, “Face recognition in dynamic scenes”, British machine vison conference, 1997.
A. Pentland, B. Moghaddam, T. Starner, “View-based and modular eigenspaces for face recognition”, MIT Media Laboratory Perceptual Computing Section, Technical Report 245, 1994.
D. Rowland, D. Perret, D. Burt, K. Lee and S. Akamatsu, “Transforming facial images in 2 and 3-D”, Imagina 97 Conferences — Actes / Proceedings, Feb. 1997, pp. 159–175.
The Candide software package, Image Coding Group, Linköping University, 1994.
B. Moghaddam and A. Pentland, “Probabilistic Visual Learning for Object Representation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19. N0. 7, pp. 696–710, July 1997.
V. Vilaplana, F. Marqués, P. Salembier, and L. Garrido, “Region-based segmentation and tracking of human faces”, Proceedings of EUSIPCO’98 Conference on Signal Processing, Rodhes, Greece, September 1998.
F. Marqés, J. Llach, “Tracking of generic objects for video object generation”, International Conference on Image Processing, ICIP 98, October 1998, Chicago, USA.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Torres, L., Marqués, F., Lorente, L., Vilaplana, V. (1999). Face Location and Recognition for Video Indexing in the Hypermedia Project. In: Leopold, H., García, N. (eds) Multimedia Applications, Services and Techniques — ECMAST’99. ECMAST 1999. Lecture Notes in Computer Science, vol 1629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48757-3_25
Download citation
DOI: https://doi.org/10.1007/3-540-48757-3_25
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66082-8
Online ISBN: 978-3-540-48757-9
eBook Packages: Springer Book Archive