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Automatic human face detection for content-based image annotation

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Automatic human face detection for content-based image annotation. / Jiang, Richard M.; Sadka, Abdul H.; Zhou, Huiyu.
2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings. IEEE, 2008. p. 66-69 4564929 (2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Jiang, RM, Sadka, AH & Zhou, H 2008, Automatic human face detection for content-based image annotation. in 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings., 4564929, 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings, IEEE, pp. 66-69, 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, London, United Kingdom, 18/06/08. https://doi.org/10.1109/CBMI.2008.4564929

APA

Jiang, R. M., Sadka, A. H., & Zhou, H. (2008). Automatic human face detection for content-based image annotation. In 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings (pp. 66-69). Article 4564929 (2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings). IEEE. https://doi.org/10.1109/CBMI.2008.4564929

Vancouver

Jiang RM, Sadka AH, Zhou H. Automatic human face detection for content-based image annotation. In 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings. IEEE. 2008. p. 66-69. 4564929. (2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings). doi: 10.1109/CBMI.2008.4564929

Author

Jiang, Richard M. ; Sadka, Abdul H. ; Zhou, Huiyu. / Automatic human face detection for content-based image annotation. 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings. IEEE, 2008. pp. 66-69 (2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings).

Bibtex

@inproceedings{9c6aa2c7203d4e12b84f5ed1fd202a02,
title = "Automatic human face detection for content-based image annotation",
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.",
author = "Jiang, {Richard M.} and Sadka, {Abdul H.} and Huiyu Zhou",
year = "2008",
month = sep,
day = "22",
doi = "10.1109/CBMI.2008.4564929",
language = "English",
isbn = "9781424420445",
series = "2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings",
publisher = "IEEE",
pages = "66--69",
booktitle = "2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings",
note = "2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008 ; Conference date: 18-06-2008 Through 20-06-2008",

}

RIS

TY - GEN

T1 - Automatic human face detection for content-based image annotation

AU - Jiang, Richard M.

AU - Sadka, Abdul H.

AU - Zhou, Huiyu

PY - 2008/9/22

Y1 - 2008/9/22

N2 - 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.

AB - 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.

U2 - 10.1109/CBMI.2008.4564929

DO - 10.1109/CBMI.2008.4564929

M3 - Conference contribution/Paper

AN - SCOPUS:51849129261

SN - 9781424420445

T3 - 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings

SP - 66

EP - 69

BT - 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings

PB - IEEE

T2 - 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008

Y2 - 18 June 2008 through 20 June 2008

ER -