@inproceedings{f62e2cf7d3af41ab91746747ccefe74d,
title = "Video summarization based on face recognition and speaker verification",
abstract = "In this paper, we propose a video summarization system based on face recognition and speaker verification. In the proposed system, face recognition is performed first. The Adaboost approach is adopted to find out the image regions which contain human faces. We perform the Non-negative Matrix Factorization (NMF) technique to decompose the face regions into basis and corresponding coefficients. Next, we use the coefficients as features to do classification by Support Vector Machine (SVM). Simultaneously, the voice part is used to do speaker verification via GMM-SVM approach. Finally, the video summarization is processed according to the face recognition and speaker verification results. With the consideration of both sound and image parts, the proposed system shall have better performance than traditional video summarization systems.",
keywords = "face detection, face recognition, NMF, speaker verification, SVM, Video summarization",
author = "Lee, {Yuan Shan} and Hsu, {Chia Yung} and Lin, {Po Chuan} and Chen, {Chia Yen} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 ; Conference date: 15-06-2015 Through 17-06-2015",
year = "2015",
month = nov,
day = "20",
doi = "10.1109/ICIEA.2015.7334407",
language = "???core.languages.en_GB???",
series = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1821--1824",
booktitle = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",
}