Image retargeting by combining region warping and occlusion

Zhongyan Qiu, Tongwei Ren, Yan Liu, Jia Bei, Muyang Song

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


Image retargeting aims to avoid visual distortion while retaining important image content in resizing. However, current image retargeting methods usually fail in difficult situations, such as complex structures and intricate arrangements of objects. In this paper, we propose a novel image retargeting approach, which provides low visual distortion retargeting results by combining region warping and occlusion. We first represent image region with occlusion probability to avoid inaccuracy in image decomposition. Then we combine region warping and occlusion in a unified framework, and transform it to a pixellevel retargeting problem. To verify the performance of our approach, we implement it with two operators, seam carving and pixel warping. Experiments demonstrate the effectiveness of the proposed approach.
Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2013 - 14th Pacific-Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783319037301
Publication statusPublished - 1 Jan 2013
Event14th Pacific-Rim Conference on Multimedia, PCM 2013 - Nanjing, China
Duration: 13 Dec 201316 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8294 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th Pacific-Rim Conference on Multimedia, PCM 2013


  • Image retargeting
  • Region occlusion
  • Region warping
  • Visual distortion

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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