NDLI: Web image mining for facial age estimation

Content Provider	IEEE Xplore Digital Library
Author	Sai Phyo Kyaw Jian-Gang Wang Eam Khwang Teoh
Copyright Year	2013
Description	Author affiliation: Inst. for Infocomm Res., A*STAR, Singapore, Singapore (Jian-Gang Wang) \|\| Sch. of EEE, Nanyang Technol. Univ., Singapore, Singapore (Sai Phyo Kyaw; Eam Khwang Teoh)
Abstract	Face image based age estimation is an approach to classify face images into one of several pre-defined age-groups. It is challenging because the aging variation is specific to a given individual and is determined by not only the person's gene, but also by many external factors, such as exposure, weather conditions (e.g. ambient humidity), health, gender, living style and living location. Age categorization is a multiclass problem. Lack of a good public aging dataset makes it difficult to estimate age from face image. Due to large multiclass nature of human ages, it is difficult to collect large aging database. In this paper, we proposed a novel approach to collect high quality aging face images. Application Programming Interface (API) services provided by Microsoft Search Engine Bing are adopted for this purpose. Automatic collection of age-specified query images was implemented in C# programming interface with Microsoft BING API services. The experimental results of age estimation has verified that our approach is a good way to collect aging images in huge volume since internet hosts a large number of images with age labeling. It serves as an alternative cheap platform to gather face images for age classification.
Starting Page	1
Ending Page	5
File Size	463386
Page Count	5
File Format	PDF
e-ISBN	9781479904341
DOI	10.1109/ICICS.2013.6782962
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-10
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Aging Estimation Databases Internet Search engines Feature extraction LGBP features Facial age estimation Web mining Extreme learning machines BIF
Content Type	Text
Resource Type	Article

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