DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ntalianis, Klimis | - |
dc.contributor.author | Mastorakis, Nikolaos | - |
dc.contributor.author | Doulamis, Anastasios | - |
dc.contributor.author | Tomaras, Petros | - |
dc.date.accessioned | 2024-08-01T07:47:36Z | - |
dc.date.available | 2024-08-01T07:47:36Z | - |
dc.date.issued | 2013-02-12 | - |
dc.identifier | google_scholar-vd7COBsAAAAJ:tKAzc9rXhukC | - |
dc.identifier.isbn | 978-1-61804-162-3 | - |
dc.identifier.issn | 1790-5109 | - |
dc.identifier.other | vd7COBsAAAAJ:tKAzc9rXhukC | - |
dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2773 | - |
dc.description.abstract | Social 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.iso | en | en_US |
dc.relation.ispartof | Recent 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.source | Recent Advances In Knowledge Engineering And Systems Science, 162-167, 2013 | - |
dc.subject | Video collection summarization | en_US |
dc.subject | Social media | en_US |
dc.subject | en_US | |
dc.subject | User interactions | en_US |
dc.subject | Social graph | en_US |
dc.title | Social media video collection summarization based on social graph user interactions | en_US |
dc.type | Conference Paper | en_US |
dc.relation.conference | 12th 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.dept | Department of Business Administration | en_US |
dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
dc.identifier.spage | 162 | en_US |
dc.identifier.epage | 167 | en_US |
dc.link | https://www.researchgate.net/publication/308721581_Social_Media_Video_Collection_Summarization_based_on_Social_Graph_User_Interactions | en_US |
dc.collaboration | University of West Attica (UNIWA) | en_US |
dc.journals | Open Access | en_US |
dc.publication | Peer Reviewed | en_US |
dc.country | Greece | en_US |
local.metadatastatus | verified | en_US |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairetype | Conference Paper | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | Department of Business Administration | - |
crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου |
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