Downloading: Survey on Content Based Face Image Retrieval and Attribute Detection
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064


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Survey on Content Based Face Image Retrieval and Attribute Detection

Bharti S. Satpute, Archana A. Chaugule

Abstract: Due to the popularity of image capturing digital devices and the ease of social network/photo sharing services (e.g., Facebook, Twitter, Flickr), there are largely growing consumer photos available in database. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. This paper attempts to provide a comprehensive survey of the recent technical achievements in general content-based image retrieval systems and content-based face image retrieval systems. In addition, human attribute detection method and its result in different applications is also discussed. This paper also gives review on sparse coding and dictionary learning methods.

Keywords: content-based image retrieval, sparse coding, content-based face image retrieval, attribute detection


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