Optimal-scaling-factor assignment for patch-wise image retargeting

Image retargeting adjusts images to arbitrary sizes such that they can be viewed on different displays. Content-aware image retargeting has been receiving increased attention. In particular, researchers have improved a patch-wise scaling method for image retargeting at the object level. The scaling...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE computer graphics and applications. - 1991. - 33(2013), 5 vom: 10. Sept., Seite 68-78
1. Verfasser: Liang, Yun (VerfasserIn)
Weitere Verfasser: Liu, Yong-Jin, Luo, Xiao-Nan, Xie, Lexing, Fu, Xiaolan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2013
Zugriff auf das übergeordnete Werk:IEEE computer graphics and applications
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
Beschreibung
Zusammenfassung:Image retargeting adjusts images to arbitrary sizes such that they can be viewed on different displays. Content-aware image retargeting has been receiving increased attention. In particular, researchers have improved a patch-wise scaling method for image retargeting at the object level. The scaling partitions the image into rectangular patches of adaptive sizes, which are comparable to the sizes of the salient objects in the image. This partitioning is based on a visual-saliency map; accordingly, the method labels the patches as important or unimportant. Then, the method scales the important patches as uniformly as possible and stretches or squeezes the unimportant patches to fit the target size. A patch-based image-similarity measure finds the optimal set of scaling factors. In experiments, the improved method performed well for three image types: lines and edges, foreground objects, and geometric structures
Beschreibung:Date Completed 30.03.2015
Date Revised 08.05.2014
published: Print
Citation Status PubMed-not-MEDLINE
ISSN:1558-1756
DOI:10.1109/MCG.2012.123