Videolization: knowledge graph based automated video generation from web content

Web content nowadays can also be accessed through new generation of Internet connected TVs. However, these products failed to change users’ behavior when consuming online content. Users still prefer personal computers to access Web content. Certainly, most of the online content is still designed to be accessed by personal computers or mobile devices. In order to overcome the usability problem of Web content consumption on TVs, this paper presents a knowledge graph based video generation system that automatically converts textual Web content into videos using semantic Web and computer graphics based technologies. As a use case, Wikipedia articles are automatically converted into videos. The effectiveness of the proposed system is validated empirically via opinion surveys. Fifty percent of survey users indicated that they found generated videos enjoyable and 42 % of them indicated that they would like to use our system to consume Web content on their TVs. © 2016, Springer Science+Business Media New York.

Dergi Adı Multimedia Tools and Applications
Cild 77
Dergi Sayısı 1
Sayfalar 567 - 595
Yayın Tarihi 2018
Eser Adı
[dc.title]
Videolization: knowledge graph based automated video generation from web content
Yazar
[dc.contributor.author]
Kalender, M.
Yazar
[dc.contributor.author]
Eren, M.T.
Yazar
[dc.contributor.author]
Wu, Z.
Yazar
[dc.contributor.author]
Cirakman, O.
Yazar
[dc.contributor.author]
Kutluk, S.
Yazar
[dc.contributor.author]
Gultekin, G.
Yazar
[dc.contributor.author]
Korkmaz, E.E.
Yayıncı
[dc.publisher]
Springer New York LLC
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
Web content nowadays can also be accessed through new generation of Internet connected TVs. However, these products failed to change users’ behavior when consuming online content. Users still prefer personal computers to access Web content. Certainly, most of the online content is still designed to be accessed by personal computers or mobile devices. In order to overcome the usability problem of Web content consumption on TVs, this paper presents a knowledge graph based video generation system that automatically converts textual Web content into videos using semantic Web and computer graphics based technologies. As a use case, Wikipedia articles are automatically converted into videos. The effectiveness of the proposed system is validated empirically via opinion surveys. Fifty percent of survey users indicated that they found generated videos enjoyable and 42 % of them indicated that they would like to use our system to consume Web content on their TVs. © 2016, Springer Science+Business Media New York.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2020-03-18
Yayın Tarihi
[dc.date.issued]
2018
Açık Erişim Tarihi
[dc.date.available]
2020-03-18
Dil
[dc.language.iso]
eng
Konu Başlıkları
[dc.subject]
Computer graphics
Konu Başlıkları
[dc.subject]
DBpedia
Konu Başlıkları
[dc.subject]
Entity linking
Konu Başlıkları
[dc.subject]
Knowledge graph
Konu Başlıkları
[dc.subject]
Semantic web
Konu Başlıkları
[dc.subject]
Text-to-video
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
ISSN
[dc.identifier.issn]
13807501
Yayının ilk sayfa sayısı
[dc.identifier.startpage]
567
Yayının son sayfa sayısı
[dc.identifier.endpage]
595
Dergi Adı
[dc.relation.journal]
Multimedia Tools and Applications
Dergi Sayısı
[dc.identifier.issue]
1
Cild
[dc.identifier.volume]
77
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.11831/3940
Görüntülenme Sayısı ( Şehir )
Görüntülenme Sayısı ( Ülke )
Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
26
20.03.2023 tarihinden bu yana
İndirme
1
20.03.2023 tarihinden bu yana
Son Erişim Tarihi
01 Ekim 2023 13:34
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