Improvement of face detection algorithms for news videos

Date
2005
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Source Title
Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, 2005.
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Publisher
IEEE
Volume
2005
Issue
Pages
308 - 311
Language
Turkish
Type
Conference Paper
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Abstract

People are the most important subjects in news videos and for proper retrieval of person images, face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due to the huge irregularities and high noise level in the data. This study presents a method that combines skin detection and Schneiderman-Kanade face detection, for improving the face detection performance in news videos for a better retrieval. This method has been tested on TRECVID 2003 dataset and the results are very promising. © 2005 IEEE.

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Keywords
Face detection algorithms, News videos, Schneiderman-Kanade face detection, Algorithms, Data reduction, Image analysis, Spurious signal noise, Video signal processing, Face recognition
Citation
Published Version (Please cite this version)