Automatic human face detection for content-based image annotation

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2428

Full metadata record

DC Field	Value	Language
dc.contributor.author	Jiang, M	-
dc.contributor.author	Sadka, A H	-
dc.contributor.author	Zhou, H	-
dc.coverage.spatial	4	en
dc.date.accessioned	2008-06-20T12:09:49Z	-
dc.date.available	2008-06-20T12:09:49Z	-
dc.date.issued	2008	-
dc.identifier.citation	The Sixth International Workshop on Content-Based Multimedia Indexing. London, UK, 18-20th June, 2008	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/2428	-
dc.description.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.	en
dc.format.extent	427369 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.title	Automatic human face detection for content-based image annotation	en
dc.type	Conference Paper	en
Appears in Collections:	Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers

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