Video adaptation model based on cognitive lattice in ubiquitous computing
- Authors
- Kim S.; Yoon Y.-I.
- Issue Date
- Dec-2010
- Publisher
- Springer-Verlag
- Keywords
- Cognitive content; Content Adaptation; MPEG-21; Personalized
- Citation
- Communications in Computer and Information Science, v.121 CCIS, pp 11 - 21
- Pages
- 11
- Journal Title
- Communications in Computer and Information Science
- Volume
- 121 CCIS
- Start Page
- 11
- End Page
- 21
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/13616
- DOI
- 10.1007/978-3-642-17625-8_2
- ISSN
- 1865-0929
- Abstract
- The multimedia service delivery chain poses today many challenges. There are an increasing terminal diversity, network heterogeneity and a pressure to satisfy the user preferences. The situation encourages the need for the personalized contents to provide the user in the best possible experience in ubiquitous computing. This paper introduces a personalized content preparation and delivery framework for multimedia service. The personalized video adaptation is expected to satisfy individual users' need in video content. Cognitive lattice plays a significant role of video annotation to meet users' preference on video content. In this paper, a comprehensive solution for the PVA (Personalized Video Adaptation) is proposed based on Cognitive lattice concept. The PVA is implemented based on MPEG-21 Digital Item Adaptation framework. One of the challenges is how to quantify users' preference on video content. © 2010 Springer-Verlag.
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