Title :
Facial image retrieval based on demographic classification
Author :
Wu, Bo ; Ai, Haizhou ; Huang, Chang
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
In this paper, we propose a novel method for demographic classification and present an image retrieval system that can retrieve facial images by demographic information that includes gender, age and ethnicity. The demographic information is extracted from human faces by demographic classifiers that are learned from boosting Haar feature based look-up-table type weak classifiers. The image retrieval system consists of three modules, face detection, facial feature landmark extraction and demographic classification. Experimental results are reported to show its potential in the management of a large facial image database for online retrieval applications.
Keywords :
demography; face recognition; feature extraction; image classification; image retrieval; learning (artificial intelligence); table lookup; Haar feature based lookup table; boosting algorithm; demographic classification; demographic information extraction; face detection; facial feature landmark extraction; facial image database management; facial image retrieval system; online retrieval applications; Content based retrieval; Data mining; Demography; Face detection; Face recognition; Facial features; Humans; Image databases; Image retrieval; Information retrieval;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334677