Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/100601
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJiang, Yuningen
dc.contributor.authorYuan, Junsongen
dc.contributor.authorYu, Gangen
dc.date.accessioned2013-11-29T01:18:39Zen
dc.date.accessioned2019-12-06T20:25:12Z-
dc.date.available2013-11-29T01:18:39Zen
dc.date.available2019-12-06T20:25:12Z-
dc.date.copyright2012en
dc.date.issued2012en
dc.identifier.citationJiang, Y., Yuan, J., & Yu, G. (2012). Randomized Spatial Partition for Scene Recognition. Proceedings of the 12th European conference on Computer Vision (ECCV12), pp.730-743.en
dc.identifier.urihttps://hdl.handle.net/10356/100601-
dc.identifier.urihttp://hdl.handle.net/10220/17891en
dc.description.abstractThe spatial layout of images plays a critical role in natural scene analysis. Despite previous work, e.g., spatial pyramid matching, how to design optimal spatial layout for scene classification remains an open problem due to the large variations of scene categories. This paper presents a novel image representation method, with the objective to characterize the image layout by various patterns, in the form of randomized spatial partition (RSP). The RSP-based image representation makes it possible to mine the most descriptive image layout pattern for each category of scenes, and then combine them by training a discriminative classifier, i.e., the proposed ORSP classifier. Besides RSP image representation, another powerful classifier, called the BRSP classifier, is also proposed. By weighting a sequence of various partition patterns via boosting, the BRSP classifier is more robust to the intra-class variations hence leads to a more accurate classification. Both RSP-based classifiers are tested on three publicly available scene datasets. The experimental results highlight the effectiveness of the proposed methods.en
dc.format.extent14 p.en
dc.language.isoenen
dc.rights© 2012 Springer-Verlag Berlin Heidelberg. This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of the 12th European conference on Computer Vision (ECCV12), Springer-Verlag Berlin Heidelberg. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/978-3-642-33709-3_52].en
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognitionen
dc.titleRandomized spatial partition for scene recognitionen
dc.typeConference Paperen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.contributor.conferenceEuropean conference on Computer Vision (12th : 2012 : Florence, Italy)en
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-33709-3_52en
dc.description.versionAccepted versionen
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:EEE Conference Papers
Files in This Item:
File Description SizeFormat 
Randomized Spatial Partition for Scene Recognition.pdf1.57 MBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.