DocumentCode :
3356360
Title :
Systematic Evaluation of Face Detection Algorithms on News Videos
Author :
Acar, Can ; Atlas, Arda ; Cevik, Koray ; Olmez, Isa ; Unlu, Mehmet ; Ozkan, Derya ; Duygulu, Pinar
Author_Institution :
Bilgisayar Muhendisligi Bolumu Bilkent Univ., Ankara, Turkey
fYear :
2007
fDate :
11-13 June 2007
Firstpage :
1
Lastpage :
4
Abstract :
People arc the most important subjects in news videos and for proper retrieval of people 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. In addition to that, with different face detection algorithms, the number and the type of the faces may differ. In this study, in order to get the best performance from existing methods, systematic evaluation of these methods is performed. In the experiments, news videos from TRECVID 2006 data set arc used and for evaluation four different face detection methods arc chosen.
Keywords :
face recognition; video signal processing; face detection algorithms; face recognition; image retrieval; news videos; Face detection; Face recognition; Image retrieval; Instruction sets; NIST; Noise level; Performance evaluation; Reactive power; Videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
Type :
conf
DOI :
10.1109/SIU.2007.4298778
Filename :
4298778
Link To Document :
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