Motion vector refinement for high-performance transcoding
IEEE Transactions on Multimedia
Adapting multimedia Internet content for universal access
IEEE Transactions on Multimedia
Object-based transcoding for adaptable video content delivery
IEEE Transactions on Circuits and Systems for Video Technology
An Integrated Framework for Semantic Annotation and Adaptation
Multimedia Tools and Applications
Live video adaptation: a context-aware approach
WebMedia '05 Proceedings of the 11th Brazilian Symposium on Multimedia and the web
Annotation based personalized adaptation and presentation of videos for mobile applications
Multimedia Tools and Applications
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In this paper we present transcoding techniques for a video server architecture that enables the user to access live video streams by using different devices with different capabilities. For live videos, annotation methods cannot be exploited. Instead we propose methods of on-the-fly transcoding that adapt the video content with respect to the user resources and the video semantic. Thus we propose an object-based transcoding with "classes of relevance" (for instance People, Face and Background). To compare the different strategies we propose a metric based on the Weighted Mean Square Error that allows the analysis of different application scenarios by means of a class-wise distortion measure. The obtained results show that the use of semantic can improve the bandwidth to distortion ratio significantly.