Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Media transcoding for pervasive computing
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Adapting multimedia Internet content for universal access
IEEE Transactions on Multimedia
DAVE: a system for quality driven adaptive video delivery
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Adaptive multimedia content delivery in ubiquitous environments
WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
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Many new applications such as pervasive healthcare, pervasive infotainment and pervasive training, require relevant video segments (i.e. video highlights) to be delivered to a variety of devices operating under both wired and wireless platforms. This brings in a requirement of (a) way to describe the content as well as the environment such as device and network in which it is to be delivered, and (b) a method to adapt the content for the environment and the application. Maximizing user viewing experiences and minimizing resources required is the main aim of the adaptation process. This involves identifying relevant segments within a video and scaling down the video in different dimensions so that it can be delivered to the end users any time any where on any device. Towards this we have developed a prototype system for delivery of adaptive video (DAVE). In this paper, we explain how DAVE delivers video highlights in both wired and wireless platforms. Our focus in this paper is on content and environment description and content adaptation aspects of DAVE.