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 contentContent AdaptationMPEG-21PersonalizedCognitive contentContent adaptationMPEG-21MPEG-21 digital item adaptationNetwork heterogeneityPersonalizedPersonalized contentPersonalized videoService deliveryVideo adaptationVideo annotationsVideo contentsHuman computer interactionInformation technologyMesh generationMotion Picture Experts Group standardsMultimedia servicesVideo recordingUbiquitous computing
제목
Video adaptation model based on cognitive lattice in ubiquitous computing
저자
Kim, SvetlanaYoon, Yong-ik
DOI
10.1007/978-3-642-17625-8_2
발행일
2010-12
유형
Conference Paper
저널명
Communications in Computer and Information Science
121 CCIS
페이지
11 ~ 21