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http://bura.brunel.ac.uk/handle/2438/9540
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DC Field | Value | Language |
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dc.contributor.author | Kannan, R | - |
dc.contributor.author | Ghinea, G | - |
dc.contributor.author | Swaminathan, S | - |
dc.date.accessioned | 2014-12-17T14:20:57Z | - |
dc.date.available | 2015-06-01 | - |
dc.date.available | 2014-12-17T14:20:57Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | IEEE Signal Processing Letters, 22 (6): pp. 686 - 690, 2015 | en_US |
dc.identifier.issn | 1070-9908 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6942143 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9540 | - |
dc.description.abstract | In this letter, a novel salient region detection approach is proposed. Firstly, color contrast cue and color distribution cue are computed by exploiting patch level and region level image abstractions in a unified way, where these two cues are fused to compute an initial saliency map. A simple and computationally efficient adaptive saliency refinement approach is applied to suppress saliency of background noises, and to emphasize saliency of objects uniformly. Finally, the saliency map is computed by integrating the refined saliency map with center prior map. In order to compensate different needs in speed/accuracy tradeoff, three variants of the proposed approach are also presented in this letter. The experimental results on a large image dataset show that the proposed approach achieve the best performance over several state-of-the-art approaches. | en_US |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.subject | Adaptive saliency refinement | en_US |
dc.subject | Center prior | en_US |
dc.subject | Color contrast | en_US |
dc.subject | Color distribution | en_US |
dc.subject | Saliency detection | en_US |
dc.title | Salient region detection using patch level and region level image abstractions | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/LSP.2014.2366192 | - |
dc.relation.isPartOf | IEEE Signal Processing Letters | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Computer Science | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Computer Science/Computer Science | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Multidisclipary Assessment of Technology Centre for Healthcare (MATCH) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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File | Description | Size | Format | |
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Fullpaper.pdf | 692.21 kB | Adobe PDF | View/Open |
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