Facial signatures for fast individual retrieval from video dataset

Pengyi Hao, Sei Ichiro Kamata

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The topic of retrieving videos containing a desired person by using the content of faces without any help of textual information has many interesting applications like video surveillance, social network, video mining, etc. However, face-by-face matching leads to an unacceptable response time for a video dataset with a large number of detected faces and may also reduce the accuracy of searching. Therefore, in this paper we propose a scheme to generate facial signatures for fast retrieving videos containing the same person with a query. First, we summarize each video as a set of person-oriented individuals based on detected faces, which are represented as high dimensional vectors in a feature space. Then, each person with a collection of high dimensional vectors is projected to a compact and reduced dimensionality representation that is called facial signature for this person. The projection is realized by constructing a matcher using linear discriminant analysis with maximum correntropy criterion optimization. In this research, two kinds of signatures are provided, which are called 1D facial signature and 2D facial signature. The proposed searching scheme can support two types of queries: face image and video clip. Evaluations on a large dataset of videos show reliable measurement of similarities by using facial signature to represent each person generated from videos and also demonstrate that the proposed searching 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 Multimedia and Expo, ICME 2013
DOI
出版ステータスPublished - 2013 10 21
イベント2013 IEEE International Conference on Multimedia and Expo, ICME 2013 - San Jose, CA, United States
継続期間: 2013 7 152013 7 19

出版物シリーズ

名前Proceedings - IEEE International Conference on Multimedia and Expo
ISSN(印刷版)1945-7871
ISSN(電子版)1945-788X

Conference

Conference2013 IEEE International Conference on Multimedia and Expo, ICME 2013
国/地域United States
CitySan Jose, CA
Period13/7/1513/7/19

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用

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