NDLI: An efficient video retrieval scheme based on facial signatures

Content Provider	IEEE Xplore Digital Library
Author	Pengyi Hao Kamata, S.-I.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan (Pengyi Hao; Kamata, S.-I.)
Abstract	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.
Starting Page	2699
Ending Page	2703
File Size	307017
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738556
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear discriminant analysis Video retrieval Signature
Content Type	Text
Resource Type	Article

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