eCite Digital Repository

Perceptual relevance based image retargeting


Engelke, U and Wang, J and Marendy, P, Perceptual relevance based image retargeting, IEEE Signal Processing Letters, 22, (6) pp. 705-708. ISSN 1070-9908 (2015) [Refereed Article]

Copyright Statement

Copyright 2014 IEEE

DOI: doi:10.1109/LSP.2014.2368136


The impact of perceptual relevance information on content aware image retargeting is investigated. We integrated fixation density maps and region-of-interest maps into a contemporary image retargeting algorithm to test the hypothesis that the latter result in superior performance given their object level representation. We performed an experimental study with human participants to evaluate the performance gains relative to benchmark conditions. The experiment revealed that the kind of perceptual relevance information, image content, and retargeting ratio all have a strong impact on the overall performance. Recorded response times provided further insight into the difficulty that people experienced when performing the assessment task. These findings are instrumental for the image retargeting research community to further improve their algorithms by augmenting content awareness with perceptual relevance.

Item Details

Item Type:Refereed Article
Keywords:Eye tracking, image retargeting, region-of-interest, visual perception
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Image processing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Engelke, U (Dr Ulrich Engelke)
ID Code:117310
Year Published:2015
Web of Science® Times Cited:5
Deposited By:Information and Communication Technology
Deposited On:2017-06-07
Last Modified:2017-10-18

Repository Staff Only: item control page