@inproceedings{5ba9f70c4dde4cdf98ac71e84621daf0,
title = "Human Face Detection in Digital Video using SVM Ensemble",
abstract = "As the amount of image and video data increases greatly, it requires an effective way to index and search. Human face can play an important role in indexing for multimedia databases. This paper proposes an automatic human face detection in digital video using SVM ensemble which is combining several SVMs in the scheme of majority voting. Experimental results show that the proposed detection method using SVM ensemble outperforms the conventional method using only single SVM in terms of false alarm and missing rate.",
author = "Je, {H. M.} and D. Kim and Bang, {S. Y.} and Lee, {Sang Youn} and Choi, {Young Sik}",
year = "2002",
language = "English",
isbn = "0970789017",
series = "Proceedings of the Joint Conference on Information Sciences",
pages = "417--421",
editor = "J.H. Caulfield and S.H. Chen and H.D. Cheng and R. Duro and J.H. Caufield and S.H. Chen and H.D. Cheng and R. Duro and V. Honavar",
booktitle = "Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002",
note = "Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002 ; Conference date: 08-03-2002 Through 13-03-2002",
}