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Seam carving for media retargeting
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Communications of the ACM archive
Volume 52 ,  Issue 1  (January 2009) table of contents
Rural engineering development
SECTION: Research highlights table of contents
Pages 77-85  
Year of Publication: 2009
ISSN:0001-0782
Authors
Ariel Shamir  The Interdisciplinary Center, Herzliya, Israel
Shai Avidan  Adobe Systems, Inc., Newton, MA
Publisher
ACM  New York, NY, USA
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ABSTRACT

Traditional image resizing techniques are oblivious to the content of the image when changing its width or height. In contrast, media (i.e., image and video) retargeting take s content into account. For example, one would like to change the aspect ratio of a video without making human figures look too fat or too skinny, or change the size of an image by automatically removing "unnecessary" portions while keeping the "important" features intact. We propose a simple operator; we term seam carving to support image and video retargeting. A seam is an optimal 1D path of pixels in an image, or a 2D manifold in a video cube, going from top to bottom, or left to right. Optimality is defined by minimizing an energy function that assigns costs to pixels. We show that computing a seam reduces to a dynamic programming problem for images and a graph min-cut search for video. We demonstrate that several image and video operations, such as aspect ratio correction, size change, and object removal, can be recast as a successive operation of the seam carving operator.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Ariel Shamir: colleagues
Shai Avidan: colleagues