Resizing by symmetry-summarization

Huisi Wu*, Yu-Shuen Wang, Kun Chuan Feng, Tien Tsin Wong, Tong Yee Lee, Pheng Ann Heng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

73 Scopus citations

Abstract

Image resizing can be achieved more effectively if we have a better understanding of the image semantics. In this paper, we analyze the translational symmetry, which exists in many real-world images. By detecting the symmetric lattice in an image, we can summarize, instead of only distorting or cropping, the image content. This opens a new space for image resizing that allows us to manipulate, not only image pixels, but also the semantic cells in the lattice. As a general image contains both symmetry & non-symmetry regions and their natures are different, we propose to resize symmetry regions by summarization and non-symmetry region by warping. The difference in resizing strategy induces discontinuity at their shared boundary. We demonstrate how to reduce the artifact. To achieve practical resizing applications for general images, we developed a fast symmetry detection method that can detect multiple disjoint symmetry regions, even when the lattices are curved and perspectively viewed. Comparisons to state-of-the-art resizing techniques and a user study were conducted to validate the proposed method. Convincing visual results are shown to demonstrate its effectiveness.

Original languageEnglish
Title of host publicationProceedings of ACM SIGGRAPH Asia 2010, SIGGRAPH Asia 2010
Volume29
Edition6
DOIs
StatePublished - 1 Dec 2010
EventACM SIGGRAPH Asia 2010, SIGGRAPH Asia 2010 - Seoul, Korea, Republic of
Duration: 15 Dec 201018 Dec 2010

Conference

ConferenceACM SIGGRAPH Asia 2010, SIGGRAPH Asia 2010
CountryKorea, Republic of
CitySeoul
Period15/12/1018/12/10

Keywords

  • image resizing
  • summarization

Fingerprint Dive into the research topics of 'Resizing by symmetry-summarization'. Together they form a unique fingerprint.

Cite this