Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |

dvmmPub152

Hualu Wang, Shih-Fu Chang. Automatic Face Region Detection in MPEG Video Sequences. In SPIE's Photonics China '96 - Electronic Imaging and Multimedia Systems, Beijing, China, November 1996.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

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% 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

Contact

Shih-Fu Chang

BibTex Reference

@InProceedings{dvmmPub152,
   Author = {Wang, Hualu and Chang, Shih-Fu},
   Title = {Automatic Face Region Detection in MPEG Video Sequences},
   BookTitle = {SPIE's Photonics China '96 - Electronic Imaging and Multimedia Systems},
   Address = {Beijing, China},
   Month = {November},
   Year = {1996}
}

EndNote Reference [help]

Get EndNote Reference (.ref)

 
bar

For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).