Hybrid image retargeting

W. J. Tsai, Chun Fu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

An image retargeting method is presented in this paper, which uses multiple operators to improve the performance. In the method, cropping is adopted first in order to remove non-important content to the desired aspect ratio while keeping significant content intact. If the desired aspect ratio cannot be met by cropping, an aspect ratio adjusting method is then adopted to fit the image to the desired aspect ratio. Uniform scaling is used in the last stage to adjust the image to the desired size. Since aspect ratio needs no change, the scaling can retain all the information without causing any distortion. Since different operators are applied in different stages, their benefits are fully utilized and drawbacks can be avoided. Experimental result shows that this approach can improve the retargeting performance at a low computation cost.

Original languageEnglish
Title of host publication2015 Visual Communications and Image Processing, VCIP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467373142
DOIs
StatePublished - 1 Jan 2015
EventVisual Communications and Image Processing, VCIP 2015 - Singapore, Singapore
Duration: 13 Dec 201516 Dec 2015

Publication series

Name2015 Visual Communications and Image Processing, VCIP 2015

Conference

ConferenceVisual Communications and Image Processing, VCIP 2015
CountrySingapore
CitySingapore
Period13/12/1516/12/15

Keywords

  • Image retargeting
  • multiple operator
  • seam carving
  • seam carving
  • uniform scaling

Fingerprint Dive into the research topics of 'Hybrid image retargeting'. Together they form a unique fingerprint.

  • Cite this

    Tsai, W. J., & Chen, C. F. (2015). Hybrid image retargeting. In 2015 Visual Communications and Image Processing, VCIP 2015 [7457847] (2015 Visual Communications and Image Processing, VCIP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP.2015.7457847