Automatic generation of video narratives from shared UGC
Autor: | Ian Kegel, Roland Craigie, Michael Frantzis, Rodrigo Laiola Guimarães, Vilmos Zsombori, Marian F. Ursu, Dick C. A. Bulterman, Pablo Cesar |
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Přispěvatelé: | Business Web and Media, Network Institute, Intelligent Information Systems, Distributed and Interactive Systems |
Rok vydání: | 2011 |
Předmět: |
Multimedia
Computer science business.industry Event (computing) User-generated content 020207 software engineering Context (language use) 02 engineering and technology computer.software_genre Interactive storytelling World Wide Web Upload Narrative structure 0202 electrical engineering electronic engineering information engineering Web application 020201 artificial intelligence & image processing Narrative business computer |
Zdroj: | HT Zsombori, V, Frantzis, M, Guimarães, R L, Ursu, M, Garcia, P, Kegel, I, Craigie, R & Bulterman, D 2011, Automatic Generation of Video Narratives from Shared UGC . in Proceedings of ACM Hypertext Conference 2011 . ACM . Proceedings of ACM Hypertext Conference 2011 |
DOI: | 10.1145/1995966.1996009 |
Popis: | This paper introduces an evaluated approach to the automatic generation of video narratives from user generated content gathered in a shared repository. In the context of social events, end-users record video material with their personal cameras and upload the content to a common repository. Video narrative techniques, implemented using Narrative Structure Language (NSL) and ShapeShifting Media, are employed to automatically generate movies recounting the event. Such movies are personalized according to the preferences expressed by each individual end-user, for each individual viewing. This paper describes our prototype narrative system, MyVideos, deployed as a web application, and reports on its evaluation for one specific use case: assembling stories of a school concert by parents, relatives and friends. The evaluations carried out through focus groups, interviews and field trials, in the Netherlands and UK, provided validating results and further insights into this approach. |
Databáze: | OpenAIRE |
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