Abstract
This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region segmentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Robert Benavente and Maria Vanrell. A color naming experiment. Technical Report 56,Computer Vision Center, 2001.
B. Berlin and P. Kay. Basic Color Terms: Their Universality and Evolution. University of California Press, Berkeley 1969.
G.D. Finlayson, B. Schiele, and J.L. Crowley. Comprehensive colour image normalization. In Proceedings of 5th ECCV’98 pages 475–490, 1998.
J. Forsyth, D.A. and Malik, M.M. Fleck, H. Greenspan, T.K. Leung, S. Belongie, C. Carson, and C. Bregler. Finding pictures of objects in large collections of images. Object Representation in Computer Vision, pages 335–360, 1996.
M. Gervautz and W. Purgathofer. A simple method for color quantization: Octree quantization. Graphics Gems I, pages 287–293, 1990.
C.L. Hardin and L. Maffi Color categories in thought and language. Cambridge University Press, Cambridge, 1997.
K. Karu, A.K. Jain, and R.M. Bolle. Is there any texture in the image? In Proceedings of 13th. ICPR pages 770–774, August 1996. Viena, Austria.
P. Kay and C.K. McDaniel. The linguistic significance of the meaning of basic color terms. Language 3(54):610–646, 1978.
J.M. Lammens. A somewhat fuzzy color categorization model. In Proceedings of ICCV-95, 1995.
S.Y. Lee and F.J. Hsu. 2D C-string: A new spatial knowledge representation for image database systems. Pattern Recognition, 23(10):1077–1087, 1990.
P. Lipson, E. Grimson, and P. Sinha. Configuration based scene classification and image indexing. Computer Vision and Pattern Recognition, 1997.
X. Muñoz. Image Segmentation Integrating Color, Texture and Boundary Information. PhD thesis, Universitat de Girona, 2001.
J. Prosise. Wicked code. MSJ October 1997.
K. Shearer, H. Bunke, and S. Venkatesh. Video indexing and similarity retrieval by largest common subgraph detection using decision trees. Pattern Recognition, 34(5): 1077–1091, 2001.
M. Stricker and A. Dimai. Color indexing with weak spatial constraints. Storage and Retrieval for Image and Video Databases, 2670:29–40, 1996.
M. Vanrell, F. Lumbreras, A. Pujol, R. Baldrich, J. Lladós, and J.J. Villanueva. Colour normalisation based on background information.In Proceedings of the 8th ICIP, volume 1, pages 874–877, October 2001. Thessaloniki, Greece.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tous, F., Borràs, A., Benavente, R., Baldrich, R., Vanrell, M., Lladós, J. (2002). Textual Descriptors for Browsing People by Visual Appearance. In: Escrig, M.T., Toledo, F., Golobardes, E. (eds) Topics in Artificial Intelligence. CCIA 2002. Lecture Notes in Computer Science(), vol 2504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36079-4_37
Download citation
DOI: https://doi.org/10.1007/3-540-36079-4_37
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00011-2
Online ISBN: 978-3-540-36079-7
eBook Packages: Springer Book Archive