Learning to name faces: A multimodal learning scheme for search-based face annotation

• Main Authors: WANG, Dayong, HOI, Steven C. H., WU, Pengcheng, ZHU, Jianke, HE, Ying, MIAO, Chunyan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: web facial images; auto face annotation; supervised learning; Computer Sciences; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2336; https://ink.library.smu.edu.sg/context/sis_research/article/3336/viewcontent/Learniing_to_Name_Faces_A_Multimodal_Learning_Scheme_for_Search_Based_Face_Annotation.pdf
• Institution: Singapore Management University

Automated face annotation aims to automatically detect human faces from a photo and further name the faces with the corresponding human names. In this paper, we tackle this open problem by investigating a search-based face annotation (SBFA) paradigm for mining large amounts of web facial images free...