Exploring visual dictionaries: A model driven perspective

dc.contributor.authorAslan, Sinem
dc.contributor.authorAkgul, Ceyhun Burak
dc.contributor.authorSankur, Bulent
dc.contributor.authorTunali, E. Turhan
dc.date.accessioned2019-10-27T10:48:17Z
dc.date.available2019-10-27T10:48:17Z
dc.date.issued2017
dc.departmentEge Üniversitesien_US
dc.description.abstractGood representative dictionaries is the most critical part of the BoVW: Bag of Visual Words scheme, used for such tasks as category identification. The paradigm of learning dictionaries from datasets is by far the most widely used approach and there exists a plethora of methods to this effect. Dictionary learning methods demand abundant data, and when the amount of training data is limited, the quality of dictionaries and consequently the performance of BoVW methods suffer. A much less explored path for creating visual dictionaries starts from the knowledge of primitives in appearance models and creates families of parametric shape models. In this work, we develop shape models starting from a small number of primitives and develop a visual dictionary using various nonlinear operations and nonlinear combinations. Compared with the existing model-driven schemes, our method is able to represent and characterize images in various image understanding applications with competitive, and often better performance.en_US
dc.identifier.doi10.1016/j.jvcir.2017.09.009
dc.identifier.endpage331en_US
dc.identifier.issn1047-3203
dc.identifier.issn1095-9076
dc.identifier.issn1047-3203en_US
dc.identifier.issn1095-9076en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage315en_US
dc.identifier.urihttps://doi.org/10.1016/j.jvcir.2017.09.009
dc.identifier.urihttps://hdl.handle.net/11454/31521
dc.identifier.volume49en_US
dc.identifier.wosWOS:000416613800026en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAcademic Press Inc Elsevier Scienceen_US
dc.relation.ispartofJournal of Visual Communication and Image Representationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModel-drivenen_US
dc.subjectVisual dictionaryen_US
dc.subjectBag of Visual Wordsen_US
dc.subjectShape modelsen_US
dc.subjectPrimitive image structuresen_US
dc.subjectImage understandingen_US
dc.subjectObject recognitionen_US
dc.subjectScene classificationen_US
dc.titleExploring visual dictionaries: A model driven perspectiveen_US
dc.typeArticleen_US

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