Rate control for foveated MPEG/H.263 video
Given a set of target bits, video rate control algorithms that use Lagrange multipliers have been generally known as an optimal solution for maximizing the picture quality in the uniform spatial domain. Even if the SNR (signal-to-noise) of a picture is maximized by the rate control scheme, the visual quality can be enhanced using a suitable algorithm for the human visual system. We establish a new optimal rate control algorithm for maximizing the SNRC (signal-to-noise ratio in curvilinear coordinates) using the Lagrange multiplier. In addition, a target bit allocation technique for foveated video is introduced for simplified rate control over MEPG/H.263 video standards.