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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbn9781479923410pt
dc.typeArtigo de eventopt_BR
dc.titleImage Classification Based On Bag Of Visual Graphspt_BR
dc.contributor.authorSilva F.B.pt_BR
dc.contributor.authorGoldenstein S.pt_BR
dc.contributor.authorTabbone S.pt_BR
dc.contributor.authorDa S. Torres R.pt_BR
unicamp.authorSilva, F.B., RECOD Lab, Institute of Computing, University of Campinas - UNICAMP, 13083-852, Campinas, SP, Brazilpt_BR
unicamp.authorGoldenstein, S., RECOD Lab, Institute of Computing, University of Campinas - UNICAMP, 13083-852, Campinas, SP, Brazilpt_BR
unicamp.authorDa S. Torres, R., RECOD Lab, Institute of Computing, University of Campinas - UNICAMP, 13083-852, Campinas, SP, Brazilpt_BR
unicamp.author.externalTabbone, S., LORIA, UMR 7503, Université de Lorraine, 54506, Vandoeuvre-lès-Nancy, Francept
dc.description.abstractThis paper proposes the Bag of Visual Graphs (BoVG), a new approach to encode the spatial relationships of visual words through a codebook of visual-word arrangements, represented by graphs. This graph-based codebook defines a descriptor for image representations that not only considers the frequency of occurrence of visual words, but also their spatial relationships. Experiments demonstrate that BoVG yields high-accuracy scores in classification tasks on the traditional Caltech-101 and Caltech-256 datasets. © 2013 IEEE.en
dc.relation.ispartof2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedingspt_BR
dc.date.issued2013pt_BR
dc.identifier.citation2013 Ieee International Conference On Image Processing, Icip 2013 - Proceedings. , v. , n. , p. 4312 - 4316, 2013.pt_BR
dc.language.isoenpt_BR
dc.description.firstpage4312pt_BR
dc.description.lastpage4316pt_BR
dc.rightsfechadopt_BR
dc.sourceScopuspt_BR
dc.identifier.doi10.1109/ICIP.2013.6738888pt_BR
dc.identifier.urlhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84897792022&partnerID=40&md5=8782109f53de07b5d0cc82d05c3ac66apt_BR
dc.description.sponsorshipThe Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Societypt_BR
dc.date.available2015-06-25T19:14:11Z
dc.date.available2015-11-26T15:11:59Z-
dc.date.accessioned2015-06-25T19:14:11Z
dc.date.accessioned2015-11-26T15:11:59Z-
dc.description.provenanceMade available in DSpace on 2015-06-25T19:14:11Z (GMT). No. of bitstreams: 1 2-s2.0-84897792022.pdf: 1222893 bytes, checksum: 04b55e24c128b1b7676def1da155ec58 (MD5) Previous issue date: 2013en
dc.description.provenanceMade available in DSpace on 2015-11-26T15:11:59Z (GMT). No. of bitstreams: 2 2-s2.0-84897792022.pdf: 1222893 bytes, checksum: 04b55e24c128b1b7676def1da155ec58 (MD5) 2-s2.0-84897792022.pdf.txt: 24919 bytes, checksum: b654ae13e79f00b905ebfbf7b4d5c5d2 (MD5) Previous issue date: 2013en
dc.identifier.urihttp://www.repositorio.unicamp.br/handle/REPOSIP/89035
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/89035-
dc.identifier.idScopus2-s2.0-84897792022pt_BR
dc.description.referenceLazebnik, S., Schmid, C., Ponce, J., Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories (2006) Proc. of IEEE Conf. on Computer Vision and Pattern Recognitionpt_BR
dc.description.referencePenatti, O.A.B., Valle, E., Da Torres S, R., Encoding spatial arrangement of visual words (2011) Proc. of Iberoamerican Cong. in Pattern Recognition (CIARP)pt_BR
dc.description.referenceBoureau, Y.-L., Bach, F., Lecun, Y., Ponce, J., Learning mid-level features for recognition (2010) Proc. IEEE Conf. on Computer Vision and Pattern Recognitionpt_BR
dc.description.referenceRocha, A., Carvalho, T., Jelinek, H., Goldenstein, S., Wainer, J., Points of interest and visual dictionaries for automatic retinal lesion detection (2012) IEEE Transactions on Biomedical Engineering, 59 (8), pp. 2244-2253pt_BR
dc.description.referenceCao, Y., Wang, C., Li, Z., Zhang, L., Zhang, L., Spatial-bag-of-features (2010) Proc of IEEE Conf. on Computer Vision and Pattern Recognitionpt_BR
dc.description.referenceKaraman, S., Jenny, B.-P., Megret, R., Bugeau, A., Multi-layer local graph words for object recognition (2012) Proc. of Intl. Conf.On Advances in Multimedia Modeling (MMM)pt_BR
dc.description.referenceWelling, M., Weber, M., Perona, P., Unsupervised learning of models for recognition (2000) Proc. European Conf. Computer Visionpt_BR
dc.description.referenceFergus, R., Perona, P., Zisserman, A., Object class recognition by unsupervised scale-invariant learning (2003) Proc. of IEEE Conf. Computer Vision and Pattern Recognitionpt_BR
dc.description.referenceMikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., Van Gool, L., A comparison of affine region detectors (2005) Int. J. Comput. Vision, 65 (1-2), pp. 43-72pt_BR
dc.description.referenceLowe, D.G., Distinctive image features from scale-invariant keypoints (2004) Int. Journal of Computer Vision, 60 (2), pp. 91-110pt_BR
dc.description.referenceVan De Sande, K.E.A., Gevers, T., Snoek, C.G.M., Evaluating color descriptors for object and scene recognition (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence, 32 (9), pp. 1582-1596pt_BR
dc.description.referenceCai, H., Yan, F., Mikolajczyk, K., Learning weights for codebook in image classification and retrieval (2010) Proc of IEEE Conf. Computer Vision and Pattern Recognitionpt_BR
dc.description.referenceVan Gemert, J.C., Veenman, C.J., Smeulders, A.W.M., Geusebroek, J.-M., Visual word ambiguity (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence, 32 (7), pp. 1271-1283pt_BR
dc.description.referenceViitaniemi, V., Laaksonen, J., Experiments on selection of codebooks for local image feature histograms (2008) Proc. Intl. Conf. on Visual Information Systems: Web-Based Visual Information Search and Managementpt_BR
dc.description.referenceHashimoto, M., Cesar Jr., R.M., Object detection by keygraph classification (2009) Proc. of the Intl. Workshop on Graph-Based Representations in Pattern Recognitionpt_BR
dc.description.referenceJouili, S., Mili, I., Tabbone, S., Attributed graph matching using local descriptions (2009) ACIVS. 5807 of Lecture Notes in Computer Science, pp. 89-99. , Springerpt_BR
dc.description.referenceOjala, T., Pietikainen, M., Maenpaa, T., Multiresolution gray-scale and rotation invariant texture classification with local binary patterns (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence, 24 (7), pp. 971-987pt_BR
dc.description.referenceSivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T., Discovering objects and their location in images (2005) IEEE International Conference on Computer Visionpt_BR
dc.description.referenceLi, F.-F., Fergus, R., Perona, P., Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories (2007) Computer Vision and Image Understanding, 106, pp. 59-70pt_BR
dc.description.referenceGriffin, G., Holub, A., Perona, P., (2007) Caltech-256 Object Category Dataset, , Tech. Rep. 7694, California Institute of Technologypt_BR
dc.description.referenceVan De Sande, K.E.A., Gevers, T., Snoek, C.G.M., Empowering visual categorization with the gpu (2011) IEEE Transactions on Multimedia, 13 (1), pp. 60-70pt_BR
dc.description.referenceChang, C.-C., Lin, C.-J., LIBSVM: A library for support vector machines (2011) ACM Transactions on Intelligent Systems and Technology, 2, pp. 271-2727pt_BR
dc.description.referenceHuang, T.-K., Weng, R.C., Lin, C.-J., Generalized bradley-terry models and multi-class probability estimates (2006) J. Mach. Learn. Res, 7, pp. 85-115. , Decpt_BR
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