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dc.contributor.authorGao, Junhongen_US
dc.contributor.authorKim, Seon Jooen_US
dc.contributor.authorBrown, Michael S.en_US
dc.contributor.editorP. Cignoni and T. Ertlen_US
dc.date.accessioned2015-02-28T06:51:52Z
dc.date.available2015-02-28T06:51:52Z
dc.date.issued2012en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2012.03004.xen_US
dc.description.abstractGroup 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.en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleCreating Picture Legends for Group Photosen_US
dc.description.seriesinformationComputer Graphics Forumen_US


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