Web image mining towards universal age estimator

In this paper, we present an automatic web image mining system towards building a universal human age estimator based on facial information, which is applicable to all ethnic groups and various image qualities. First, a large (∼391k) yet noisy human aging image dataset is crawled from the photo sharing website Flickr and Google image search engine based on a set of human age related text queries. Then, within each image, several human face detectors of different implementations are used for robust face detection, and all the detected faces with multiple responses are considered as the multiple instances of a bag (image). An outlier removal step with Principal Component Analysis further refines the image set to about 220k faces, and then a robust multi-instance regressor learning algorithm is proposed to learn the kernel-regression based human age estimator under the scenarios with possibly noisy bags. The proposed system has the following characteristics: 1) no manual human age lab...

• Type: Conference
• Year: 2009
• Where: MM
• Authors: Bingbing Ni, Zheng Song, Shuicheng Yan
• Keywords: Human Age, Human Age Estimator, Image, MM 2009, Multimedia