Feature Extraction and Classifier Combination for Image-based Sketch Recognition

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dc.contributor.authorTumen, R. Sinanen_US
dc.contributor.authorAcer, M. Emreen_US
dc.contributor.authorSezgin, T. Metinen_US
dc.contributor.editorMarc Alexa and Ellen Yi-Luen Doen_US
dc.date.accessioned2014-01-28T18:11:44Z
dc.date.available2014-01-28T18:11:44Z
dc.date.issued2010en_US
dc.description.abstractImage-based approaches to sketch recognition typically cast sketch recognition as a machine learning problem. In systems that adopt image-based recognition, the collected ink is generally fed through a standard three stage pipeline consisting of the feature extraction, learning and classification steps. Although these approaches make regular use of machine learning, existing work falls short of presenting a proper treatment of important issues such as feature extraction, feature selection, feature combination, and classifier fusion. In this paper, we show that all these issues are significant factors, which substantially affect the ultimate performance of a sketch recognition engine. We support our case by experimental results obtained from two databases using representative sets of feature extraction, feature selection, classification, and classifier combination methods. We present the pros and cons of various choices that can be made while building sketch recognizers and discuss their trade-offs.en_US
dc.description.seriesinformationEurographics Workshop on Sketch-Based Interfaces and Modelingen_US
dc.identifier.isbn978-3-905674-25-5en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttps://doi.org/10.2312/SBM/SBM10/063-070en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Information Interfaces and Presentation [H.5.2]: User Interfaces-Evaluation/methodology, Interaction styles, Prototyping, User-centered design Computing Methodologies [I.5.4]: Pattern Recognition-Applicationsen_US
dc.titleFeature Extraction and Classifier Combination for Image-based Sketch Recognitionen_US
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SBM10: Sketch Based Interfaces and Modeling 2010