Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12389
Title: Face segmentation and facial feature tracking for videophone applications
Authors: Wong, KW
Lam, KM 
Siu, WC 
Tse, KM
Issue Date: 2001
Source: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001, 2001, p. 518-521 How to cite?
Abstract: In this paper, an efficient foreground/background video coding algorithm is proposed. The algorithm consists of three major parts: an automatic human face detection and facial feature extraction, facial feature tracking, and video coding method based on the properties of the facial feature. In the first part, the location of the human face and its respective facial features will be extracted by means pf genetic algorithm and eigenface techniques. After the face region and the facial features have been detected in the first frame, a fast and robust method is proposed for tracking the detected facial features on the subsequent frames. Finally, the location of the facial features will be passed to the encoding system for compression. As a result, both the subjective and the objective image quality of the face region are improved.
Description: 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001, Hong Kong, 2-4 May 2001
URI: http://hdl.handle.net/10397/12389
ISBN: 9628576623
9789628576623
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