Video adaptation model based on cognitive lattice in ubiquitous computing

  • Kim, Svetlana; 
  • Yoon, Yong-ik
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초록

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.

키워드

Cognitive content; Content Adaptation; MPEG-21; Personalized; Cognitive content; Content adaptation; MPEG-21; MPEG-21 digital item adaptation; Network heterogeneity; Personalized; Personalized content; Personalized video; Service delivery; Video adaptation; Video annotations; Video contents; Human computer interaction; Information technology; Mesh generation; Motion Picture Experts Group standards; Multimedia services; Video recording; Ubiquitous computing
제목
Video adaptation model based on cognitive lattice in ubiquitous computing
저자
Kim, Svetlana; Yoon, Yong-ik
DOI
10.1007/978-3-642-17625-8_2
발행일
2010-12
유형
Conference Paper
저널명
Communications in Computer and Information Science
권
121 CCIS
페이지
11 ~ 21