Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81696
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dc.contributor.authorGao, Shenghuaen
dc.contributor.authorChia, Liang-Tienen
dc.contributor.authorTsang, Ivor Wai-Hungen
dc.contributor.authorRen, Zhixiangen
dc.date.accessioned2016-01-12T06:29:08Zen
dc.date.accessioned2019-12-06T14:36:19Z-
dc.date.available2016-01-12T06:29:08Zen
dc.date.available2019-12-06T14:36:19Z-
dc.date.issued2014en
dc.identifier.citationGao, S., Chia, L.-T., Tsang, I. W.-H., & Ren, Z. (2014). Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding. IEEE Transactions on Multimedia, 16(3), 762-771.en
dc.identifier.issn1520-9210en
dc.identifier.urihttps://hdl.handle.net/10356/81696-
dc.description.abstractWe present a multi-layer group sparse coding framework for concurrent single-label image classification and annotation. By leveraging the dependency between image class label and tags, we introduce a multi-layer group sparse structure of the reconstruction coefficients. Such structure fully encodes the mutual dependency between the class label, which describes image content as a whole, and tags, which describe the components of the image content. Therefore we propose a multi-layer group based tag propagation method, which combines the class label and subgroups of instances with similar tag distribution to annotate test images. To make our model more suitable for nonlinear separable features, we also extend our multi-layer group sparse coding in the Reproducing Kernel Hilbert Space (RKHS), which further improves performances of image classification and annotation. Moreover, we also integrate our multi-layer group sparse coding with kNN strategy, which greatly improves the computational efficiency. Experimental results on the LabelMe, UIUC-Sports and NUS-WIDE-Object databases show that our method outperforms the baseline methods, and achieves excellent performances in both image classification and annotation tasks.en
dc.description.sponsorshipASTAR (Agency for Sci., Tech. and Research, S’pore)en
dc.format.extent12 p.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE Transactions on Multimediaen
dc.rights© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TMM.2014.2299516].en
dc.subjectImage annotationen
dc.subjectSparse codingen
dc.subjectImage classificationen
dc.subjectKernel tricken
dc.titleConcurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Codingen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.identifier.doi10.1109/TMM.2014.2299516en
dc.description.versionAccepted versionen
item.grantfulltextopen-
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