What is Computational Graceful Degradation?
The main idea of CGD is to render images or produce sound at poorer quality when the desirable quality cannot be obtained in real time, for instance because the complexity of the task exceeds the available processing power. This approach makes the guarantee of the correct scheduling of tasks possible, even when the computational system load fluctuates and necessary resources exceed the available ones. The goal is to be able to provide the guarantee of real-time video and audio decoding with possible degradations of the image quality, i.e reductions of the peak signal to noise ratio (PSNR), without loosing parts of the image. Such alternative is certainly much more desirable than other straightforward options such as cutting image portions or simply skipping frames.
