Paper
9 February 2012 SeamCrop for image retargeting
Author Affiliations +
Abstract
In this paper, we present a novel approach for the adaptation of large images to small display sizes. As a recent study suggests, most viewers prefer the loss of content over the insertion of deformations in the retargeting process.1 Therefore, we combine the two image retargeting operators seam carving and cropping in order to resize an image without manipulating the important objects in an image at all. First, seams are removed carefully until a dynamic energy threshold is reached to prevent the creation of visible artifacts. Then, a cropping window is selected in the image that has the smallest possible window size without having the removed energy rise above a second dynamic threshold. As the number of removed seams and the size of the cropping window are not fix, the process is repeated iteratively until the target size is reached. Our results show that by using this method, more important content of an image can be included in the cropping window than in normal cropping. The "squeezing" of objects which might occur in approaches based on warping or scaling is also prevented.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Johannes Kiess, Benjamin Guthier, Stephan Kopf, and Wolfgang Effelsberg "SeamCrop for image retargeting", Proc. SPIE 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI, 83040K (9 February 2012); https://doi.org/10.1117/12.906386
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CITATIONS
Cited by 5 scholarly publications and 1 patent.
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KEYWORDS
Detection and tracking algorithms

Image analysis

Image processing

Switches

Multimedia

Visualization

Image quality

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