DocumentCode
2139079
Title
Automatic human face detection for content-based image annotation
Author
Jiang, Richard M. ; Sadka, A.H. ; Zhou, Huiyu
Author_Institution
Centre for Media Commun. Res., Brunel Univ., London
fYear
2008
fDate
18-20 June 2008
Firstpage
66
Lastpage
69
Abstract
In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour filtering classifier to enhance the accuracy in face detection. The initial experimental benchmark shows the proposed scheme can be efficiently applied for image annotation with higher fidelity.
Keywords
content-based retrieval; face recognition; filtering theory; image classification; image colour analysis; image retrieval; adaptive boosting algorithm; automatic human face detection; colour analysis; colour filtering classifier; content-based image annotation; Boosting; Data mining; Digital multimedia broadcasting; Face detection; Humans; Image color analysis; Image databases; Multimedia communication; Multimedia databases; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Content-Based Multimedia Indexing, 2008. CBMI 2008. International Workshop on
Conference_Location
London
Print_ISBN
978-1-4244-2043-8
Electronic_ISBN
978-1-4244-2044-5
Type
conf
DOI
10.1109/CBMI.2008.4564929
Filename
4564929
Link To Document