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An improved rate distortion optimized rate shaping for Spatio temporal scalability for applications in heterogeneous communication networks

Author:Aravinda TV and G Mahadevan

Abstract:
Today, the wide variety of devices in the digital world ranges from desktops to mobile phones. Within the currently available interactive multimedia applications, which are very demanding in terms of video quality and coding efficiency, the cost as well as the limited performances of scalability obtained in the current standards remains unacceptable. That is why; there is a need for intrinsically scalable video coding schemes providing fully progressive bit streams. Scalable Video Coding targets on seamless delivery of digital content and access to the same, enabling optimal user centered multi-channel and cross-platform media services, providing a straightforward solution for universal video delivery to a broad range of applications. Scalable video coding gives a nice way to perform rate shaping for video streams adapting to the available transmission resource. The work in this paper deals with a rate distortion approach in Scalable Video Coding in order to achieve a performance that is comparable to a non-scalable system. The rate distortion curves of the scaled video streams are employed to adapt to both static and dynamic channels. We consider a multiuser scenario which reï¬‚ects network heterogeneity and propose to perform a joint optimization between these multiple streams which have different performance curves.