Image representation using the self-organizing map

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dc.contributor.authorSilva L.A.
dc.contributor.authorPazzinato B.
dc.contributor.authorCoelho O.B.
dc.date.accessioned2024-03-13T01:06:25Z
dc.date.available2024-03-13T01:06:25Z
dc.date.issued2013
dc.description.abstractThis paper introduces a new approach to image representation for multimedia databases based on the Self-Organizing Map (SOM) neural network. The distance between each image from a database and the SOM weight vectors trained on the same database is used as a representation for the image. In order to assess the performance of this proposal we compare it with a reference technique in image representation: the Thumbnails method. The results are satisfactory for an initial experiment since it was possible to identify the effectiveness of the SOM-based proposed representation. In order to verify the efficiency of the representations, a classification experiment is performed using the k-NN algorithm. For all image representation experiments, the SOM approach outperforms the Thumbnails reference technique. For example, in one experiment the representation results in a reduction of image size to 2% of its original size and the correct classification rates achieved are 83.33% and 35.42% for SOM and Thumbnails respectively. © 2013 Springer-Verlag.
dc.description.firstpage135
dc.description.lastpage143
dc.description.volume198 AISC
dc.identifier.doi10.1007/978-3-642-35230-0_14
dc.identifier.issn2194-5357
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36714
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.rightsAcesso Restrito
dc.subject.otherlanguageimage representation
dc.subject.otherlanguagemultimedia database
dc.subject.otherlanguageself-organizing map
dc.subject.otherlanguagethumbnails
dc.titleImage representation using the self-organizing map
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-84872226269
local.scopus.subjectClassification rates
local.scopus.subjectImage representations
local.scopus.subjectk-NN algorithm
local.scopus.subjectMultimedia database
local.scopus.subjectReference technique
local.scopus.subjectSelf-organizing map neural network
local.scopus.subjectthumbnails
local.scopus.subjectWeight vector
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84872226269&origin=inward
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