Specialized image descriptors for signboard photographs classification

dc.contributor.author	Samarin A.
dc.contributor.author	Malykh V.
dc.contributor.author	Muravyov S.
dc.date.accessioned	2021-02-25T06:54:15Z
dc.date.available	2021-02-25T06:54:15Z
dc.date.issued	2020
dc.identifier.issn	1865-0929
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/161412
dc.description.abstract	© Springer Nature Switzerland AG 2020. We propose several types of advertising sign photo descriptors that are useful for images classification. We also collected a dataset of commercial building facade photographs grouped by a type of provided services in order to perform comparison between different classification methods. Finally we performed comparison between methods based on the proposed descriptor usage and combined advertising sign classifier and obtained better performance using our system.
dc.relation.ispartofseries	Communications in Computer and Information Science
dc.subject	Combined classifier
dc.subject	Image classification
dc.subject	Image descriptor
dc.subject	Optical character recognition
dc.subject	Signboard dataset
dc.title	Specialized image descriptors for signboard photographs classification
dc.type	Conference Paper
dc.relation.ispartofseries-volume	1243 CCIS
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	122
dc.source.id	SCOPUS18650929-2020-1243-SID85089715110

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.