Seam Carving for Media Retargeting.
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 takes content into account. For example, one would like to change the aspect ratio of a video without making human figures look to...
| Publicado en: | Communications of the ACM Vol. 52; no. 1; pp. 77 - 86 |
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| Autores principales: | , |
| Formato: | Artículo |
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Association for Computing Machinery
Jan2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=36002055&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 36002055 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jan2009 vid: 52 iid: 1 pid: 68 pub: Association for Computing Machinery artinfo: ui: 36002055 10.1145/1435417.1435437 ppf: 77 ppct: 9 formats: tig: atl: Seam Carving for Media Retargeting. aug: au: Shamir, Ariel Avidan, Shai affil: Efi Arazi School of Computer Science, Interdisciplinary Center, Herzliya, Israel. Adobe Systems, Inc., Newton, MA. su: Digital image processing Imaging systems Information processing Digital electronics Aspect ratio (Images) Television sug: subj: Digital image processing Imaging systems Information processing Digital electronics Aspect ratio (Images) Television ab: 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 takes 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. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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