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Universal Video Adaptation model for contents delivery in ubiquitous computing

Authors
Yoon, YongikKim, SvetlanaLee, Jongwoo
Issue Date
Jul-2008
Publisher
Springer-Verlag
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.5068 LNCS, pp 193 - 202
Pages
10
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
5068 LNCS
Start Page
193
End Page
202
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/14559
DOI
10.1007/978-3-540-70585-7_22
ISSN
0302-9743
Abstract
A video personalization system is designed and implemented an incorporating usage environment to dynamically generate a personalized video summary. The personalization systems adopt and deliver media contents to each user. The video content delivery chain poses today many challenges. There are an increasing terminal diversity, a network heterogeneity and a pressure to satisfy the user preferences. The situation encourages the need for the customized contents in order to provide the user in the best possible experience. In this paper, we address the problem of video customization. For the customized content, we suggest the UVA(Universal Video Adaptation) model that uses the video content description in MPEG-7 standard and MPEG-21 multimedia framework. © 2008 Springer-Verlag.
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