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Proceedings Paper

Automatic face detection and tracking for H.263-compatible region-of-interest coding
Author(s): Bernd Menser; Mathias Wien
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Paper Abstract

In this paper a H.263 compatible region-of-interest coding system is presented. A face detection and tracking algorithm is applied to find the region-of-interest (ROI). The input image is filtered by a region-adaptive lowpass filter which blurs the image outside the facial region. This region- adaptive lowpass filtering leads to a graceful degradation of the image quality outside the ROI, whereas the ROI remains unchanged. Since no modification is necessary at the encoder, the ROI preprocessing step is compatible to any existing implementation of the H.263 encoder. For face detection, color information is integrated into a detection algorithm based on principal components analysis. Once a face is detected, tracking is based on color information. The ROI filter can be combined with any video sequence coder. Simulation results are given using the H.263 standard. The bitrate can be significantly reduced while retaining a high perceptual quality.

Paper Details

Date Published: 19 April 2000
PDF: 10 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.383028
Show Author Affiliations
Bernd Menser, Rheinisch-Westfaelische Technische Hochschule Aachen (Germany)
Mathias Wien, Rheinisch-Westfaelische Technische Hochschule Aachen (Germany)

Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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