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Guided Informative Image Partitioning

Brewer, Nathan; Liu, Nianjun; Wang, Lei


Image partitioning separates an image into multiple visually and semantically homogeneous regions, providing a summary of visual content. Knowing that human observers focus on interesting objects or regions when interpreting a scene, and envisioning the usefulness of this focus in many computer vision tasks, this paper develops a user-attention adaptive image partitioning approach. Given a set of pairs of oversegments labeled by a user as "should be merged" or "should not be merged", the...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2010) and Statistical Techniques in Pattern Recognition (SPR 2010)
DOI: 10.1007/978-3-642-14980-1_19


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