Automatic face detection and tracking for H.263-compatible region-of-interest coding

Bernd Menser; Mathias Wien

doi:10.1117/12.383028

19 April 2000 Automatic face detection and tracking for H.263-compatible region-of-interest coding

Bernd Menser, Mathias Wien

Proceedings Volume 3974, Image and Video Communications and Processing 2000; (2000) https://doi.org/10.1117/12.383028
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

Bernd Menser and Mathias Wien "Automatic face detection and tracking for H.263-compatible region-of-interest coding", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.383028

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