A generic video adaptation framework towards content-and context-awareness in future networks

Network researches are more and more turned toward content and context aware features. Thus, being able to manipulate data flows and to adapt those to given constraints with a minimum resource involvement is a vast research issue. On top of those topic researches resides video manipulation. But, developing heterogeneous video transcoder takes tremendous time. Many solutions have been proposed to reduce resource consumption at runtime but involve re-development of every codec for every situation, multiplying development cost under time to market constraint. In this paper, we propose a generic framework that enables the reuse of already developed and ready to use codecs, saving time to market for next generation network devices.