Please use this identifier to cite or link to this item: https://doi.org/10.1109/TMM.2013.2272919
DC FieldValue
dc.titleImage re-attentionizing
dc.contributor.authorNguyen, T.V.
dc.contributor.authorNi, B.
dc.contributor.authorLiu, H.
dc.contributor.authorXia, W.
dc.contributor.authorLuo, J.
dc.contributor.authorKankanhalli, M.
dc.contributor.authorYan, S.
dc.date.accessioned2014-06-17T02:52:28Z
dc.date.available2014-06-17T02:52:28Z
dc.date.issued2013
dc.identifier.citationNguyen, T.V., Ni, B., Liu, H., Xia, W., Luo, J., Kankanhalli, M., Yan, S. (2013). Image re-attentionizing. IEEE Transactions on Multimedia 15 (8) : 1910-1919. ScholarBank@NUS Repository. https://doi.org/10.1109/TMM.2013.2272919
dc.identifier.issn15209210
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56250
dc.description.abstractIn this paper, we propose a computational framework, called Image Re-Attentionizing, to endow the target region in an image with the ability of attracting human visual attention. In particular, the objective is to recolor the target patches by color transfer with naturalness and smoothness preserved yet visual attention augmented. We propose to approach this objective within the Markov Random Field (MRF) framework and an extended graph cuts method is developed to pursue the solution. The input image is first over-segmented into patches, and the patches within the target region as well as their neighbors are used to construct the consistency graphs. Within the MRF framework, the unitary potentials are defined to encourage each target patch to match the patches with similar shapes and textures from a large salient patch database, each of which corresponds to a high-saliency region in one image, while the spatial and color coherence is reinforced as pairwise potentials. We evaluate the proposed method on the direct human fixation data. The results demonstrate that the target region(s) successfully attract human attention and in the meantime both spatial and color coherence is well preserved. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TMM.2013.2272919
dc.sourceScopus
dc.subjectAttention retargeting
dc.subjectVisual saliency
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TMM.2013.2272919
dc.description.sourcetitleIEEE Transactions on Multimedia
dc.description.volume15
dc.description.issue8
dc.description.page1910-1919
dc.description.codenITMUF
dc.identifier.isiut000327393900015
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

22
checked on Feb 19, 2020

WEB OF SCIENCETM
Citations

18
checked on Feb 19, 2020

Page view(s)

45
checked on Feb 18, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.