Brunel University Research Archive (BURA) >
Schools >
School of Engineering and Design >
School of Engineering and Design Research papers >

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

Title: Automatic human face detection for content-based image annotation
Authors: Jiang, M
Sadka, A H
Zhou, H
Publication Date: 2008
Publisher: IEEE
Citation: The Sixth International Workshop on Content-Based Multimedia Indexing. London, UK, 18-20th June, 2008
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.
URI: http://bura.brunel.ac.uk/handle/2438/2428
Appears in Collections:School of Engineering and Design Research papers
Electronic and Computer Engineering

Files in This Item:

File Description SizeFormat
Automatic Human Face Detection for Content-based Image Annotation.pdf417.35 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.

 


Library (c) Brunel University.    Powered By: DSpace
Send us your
Feedback. Last Updated: September 14, 2010.
Managed by:
Hassan Bhuiyan