DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorMastorakis, Nikolaos-
dc.date.accessioned2024-08-01T08:11:55Z-
dc.date.available2024-08-01T08:11:55Z-
dc.date.issued2016-
dc.identifiergoogle_scholar-vd7COBsAAAAJ:SdhP9T11ey4C-
dc.identifier.issn2367-8984-
dc.identifier.othervd7COBsAAAAJ:SdhP9T11ey4C-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2774-
dc.description.abstractIn this paper diversity visualization of video content posted on Social Media is efficiently performed, by proposing an unsupervised intelligent video analysis scheme. The proposed scheme assumes several different videos, posted by several different social media users. Its aim is to provide an overall compact view of the diverse video content people share. Similarly, it is like providing a summary of the total posted visual information (for a specific time instance or interval), so that users can take an idea of what is happening outside their micro-world. Towards this direction, each video is analyzed and key-frames are extracted based on a correlation measure and a social computing algorithm. The final summary is created by extracting the most uncorrelated frames among all key-frames, so that the diversity of the visualized content is kept. Experimental results are presented, to denote the full potential of the proposed scheme, its advantages as well as important issues for future work.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Signal Processingen_US
dc.sourceInternational Journal of Signal Processing 1, 169-176, 2016-
dc.subjectSocial mediaen_US
dc.subjectSocial computingen_US
dc.subjectVideo summarizationen_US
dc.subjectContent diversityen_US
dc.subjectCorrelationen_US
dc.titleSocial Media Video Content Diversity Visualizationen_US
dc.typeArticleen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume1en_US
dc.identifier.spage169en_US
dc.identifier.epage176en_US
dc.linkhttps://www.iaras.org/iaras/filedownloads/ijsp/2016/003-0023.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.openairetypeArticle-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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