Mining weakly labeled web facial images for search-based face annotation

• Main Authors: WANG, Dayong, HOI, Steven C. H., HE, Ying, ZHU, Jianke
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Face annotation; content-based image retrieval; machine learning; label refinement; web facial images; weak label; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2278; https://ink.library.smu.edu.sg/context/sis_research/article/3278/viewcontent/MiningWeaklyLabeled_WebFacial_Images_2014_afv.pdf
• Institution: Singapore Management University

This paper investigates a framework of search-based face annotation (SBFA) by mining weakly labeled facial images that are freely available on the World Wide Web (WWW). One challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list of...