DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorMastorakis, Nikolaos-
dc.contributor.authorDoulamis, Anastasios-
dc.contributor.authorTomaras, Petros-
dc.date.accessioned2024-08-01T07:47:36Z-
dc.date.available2024-08-01T07:47:36Z-
dc.date.issued2013-02-12-
dc.identifiergoogle_scholar-vd7COBsAAAAJ:tKAzc9rXhukC-
dc.identifier.isbn978-1-61804-162-3-
dc.identifier.issn1790-5109-
dc.identifier.othervd7COBsAAAAJ:tKAzc9rXhukC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2773-
dc.description.abstractSocial media content has already been used in a variety of applications such as for ranking of news stories, for profiling of user preferences, even for products’ recommendations. However, this type of conversational, user-generated content found in social media, might be used to add value to more traditional event media, such as video. In this paper we examine the capability of automatically producing a meaningful summary of generic videos posted by our social media friends. To do so we take into consideration several parameters such as social graphs, user interactions, video popularity, likes, posts, comments, duration of activity and rate of activity. We believe that these parameters, which can be reliably associated to a given video, have the potential to serve as a powerful form of summarizing data. This paper forms an initial study of one such summarization service and some initial experiments are presented, which indicate the promising performance of the proposed scheme.en_US
dc.language.isoenen_US
dc.relation.ispartofRecent Advances In Knowledge Engineering and Systems Science: Proceedings of the 12th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED '13) Proceedings of the 12th International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS '13)en_US
dc.sourceRecent Advances In Knowledge Engineering And Systems Science, 162-167, 2013-
dc.subjectVideo collection summarizationen_US
dc.subjectSocial mediaen_US
dc.subjectFacebooken_US
dc.subjectUser interactionsen_US
dc.subjectSocial graphen_US
dc.titleSocial media video collection summarization based on social graph user interactionsen_US
dc.typeConference Paperen_US
dc.relation.conference12th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED '13) and 12th International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS '13), 20-22 February 2013, Cambridge, UK,en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage162en_US
dc.identifier.epage167en_US
dc.linkhttps://www.researchgate.net/publication/308721581_Social_Media_Video_Collection_Summarization_based_on_Social_Graph_User_Interactionsen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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