An efficient video retrieval scheme based on facial signatures

Pengyi Hao, Sei Ichiro Kamata

研究成果: Conference contribution

抄録

The topic of retrieving videos containing a desired person by just using facial content has many applications like video surveillance, social network, etc. In this paper, we propose a compact, discriminative and low-dimensional signature to describe an person with a set of high-dimensional features. The signature is generated by linear discriminant analysis with maximum correntropy criterion that is robust to outliers and noises. Based on the proposed signatures, a new video retrieval scheme is given for fast finding the desired videos by measuring the similarities between the signature of a query and the ones in the dataset. Evaluations on a large dataset of videos show that the proposed video retrieval scheme has the potential to substantially reduce the response time and slightly increase the mean average precision of retrieval.

本文言語English
ホスト出版物のタイトル2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
ページ2699-2703
ページ数5
DOI
出版ステータスPublished - 2013 12 1
イベント2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
継続期間: 2013 9 152013 9 18

出版物シリーズ

名前2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period13/9/1513/9/18

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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