Title :
An efficient video retrieval scheme based on facial signatures
Author :
Pengyi Hao ; Kamata, Sei-Ichiro
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
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.
Keywords :
social networking (online); video databases; video retrieval; video surveillance; facial content; facial signatures; linear discriminant analysis; low-dimensional signature; maximum correntropy criterion; social network; video dataset; video retrieval scheme; video surveillance; Linear discriminant analysis; Signature; Video retrieval;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738556