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Creating Picture Legends for Group Photos
Author(s) -
Gao Junhong,
Kim Seon Joo,
Brown Michael S.
Publication year - 2012
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2012.03004.x
Subject(s) - silhouette , computer science , group (periodic table) , legend , artificial intelligence , task (project management) , bounding overwatch , selection (genetic algorithm) , face (sociological concept) , computer vision , computer graphics (images) , information retrieval , art , social science , chemistry , management , organic chemistry , sociology , economics , art history
Group photos are one of the most common types of digital images found in personal image collections and on social networks. One typical post‐processing task for group photos is to produce a key or legend to identify the people in the photo. This is most often done using simple bounding boxes. A more professional approach is to create a picture legend that uses either a full or partial silhouette to identify the individuals. This paper introduces an efficient method for producing picture legends for group photos. Our approach combines face detection with human shape priors into an interactive selection framework to allow users to quickly segment the individuals in a group photo. Our results are better than those obtained by general selection tools and can be produced in a fraction of the time.