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Proceedings Paper

Automatic face-region detection in MPEG video sequences
Author(s): Hualu Wang; Shih-Fu Chang
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Paper Abstract

In this paper, we present a fast algorithm that automatically detects human face regions in MPEG video sequences. The algorithm takes the DCT coefficients of MPEG video frames as the input, and output the positions of the bounding rectangles of the detected face regions. The algorithm is divided into three stages, where chrominance, shape, and DCT frequency information are used respectively. By detecting faces directly in the DCT domain, there is no need to carry out the inverse DCT transform, so that the algorithm runs in real time. In our experiments, the algorithm detected 92 percent of the faces in one hundred MPEG I-frames with few false alarms. The algorithm can be applied to JPEG still images or motion JPEG videos as well.

Paper Details

Date Published: 30 September 1996
PDF: 9 pages
Proc. SPIE 2898, Electronic Imaging and Multimedia Systems, (30 September 1996); doi: 10.1117/12.253403
Show Author Affiliations
Hualu Wang, Columbia Univ. (United States)
Shih-Fu Chang, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 2898:
Electronic Imaging and Multimedia Systems
Chung-Sheng Li; Robert L. Stevenson; LiWei Zhou, Editor(s)

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