Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Design and Implementation of Video Content Classification Algorithm Based on Face Recognition

Authors
Xiaokang Wu, Chenggang Xie, Shu Tang, Yuanbo Yang
Corresponding Author
Xiaokang Wu
Available Online July 2015.
DOI
10.2991/icismme-15.2015.285How to use a DOI?
Keywords
face recognition; video content; video classification; and key frame.
Abstract

To further facilitate users’ quick browsing the behaviors and expressions of the characters in videos, in which they are interested, we need to classify the according person’s frame images in accordance with the contents of the group scene. In this paper, we use the technology of face recognition to classify the frame images of different person which are coupling in the video, and then we form the video abstraction of different person.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.285How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaokang Wu
AU  - Chenggang Xie
AU  - Shu Tang
AU  - Yuanbo Yang
PY  - 2015/07
DA  - 2015/07
TI  - Design and Implementation of Video Content Classification Algorithm Based on Face Recognition
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1328
EP  - 1331
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.285
DO  - 10.2991/icismme-15.2015.285
ID  - Wu2015/07
ER  -