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Proceedings Paper

Annotation of natural scenes using adaptive color segmentaion
Author(s): Eli S. Saber; A. Murat Tekalp; Reiner Eschbach; Keith T. Knox
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Paper Abstract

We present an approach to the annotation of natural scene images that used a simple color segmenter to indicate the presence of skin, sky and grass in an image. The results of the color based segmentation are then used to determine higher level description of images as 'People' or 'Outdoors'. The images are analyzed in a luminance-chrominance color space in order to reduce the influence of the scene illumination on the segmentation. The distribution of the chrominance components of the pixels belonging to each object class is modeled as a Gaussian PDF, allowing an image-adaptive setting of the object-class thresholds.

Paper Details

Date Published: 23 March 1995
PDF: 9 pages
Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); doi: 10.1117/12.205495
Show Author Affiliations
Eli S. Saber, Xerox Webster Research Ctr. (United States)
A. Murat Tekalp, Univ. of Rochester (United States)
Reiner Eschbach, Xerox Webster Research Ctr. (United States)
Keith T. Knox, Xerox Webster Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2421:
Image and Video Processing III
Robert L. Stevenson; Sarah A. Rajala, Editor(s)

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