In the general multiple video object coder, more interesting objects such as a speaker or a moving object is consistently coded with higher priority. Since the priority of each object may not be fixed in the whole sequence and be variable on a frame by frame basis, it must be adjusted in a frame. In this paper, we analyze the independent rate control algorithm and the global algorithm that the QP value is controlled by static parameters, object importance or priority, the target PSNR and the weighted distortion. The priority among static parameters is analyzed and adjusted into dynamic parameters according to the visual interests or importance obtained by a camera interface. The target PSNR and the weighted distortion are proportional to magnitude, motion, and distortion. We apply these parameters for the weighted distortion control and the priority-based control leading to an efficient bit-rate distribution. As result, we have achieved that fewer bits are allocated for video objects which have less importance and more bits for those which have higher visual importance. The period to reach stability in the visual quality is reduced to less than 15 frames of the coded sequence. With respect to the PSNR, the proposed scheme shows higher quality of over 2dB than the conventional schemes. Thus the coding scheme interfaced to human-eyes proves to be an efficient video coder dealing with the multiple video objects.
Bilevel quantization using dither is useful with coarse quantizers. So we study it from a statistical viewpoint, furthermore, physical energy theory known as Hopfield neural network or Ising spin system. These are equivalent internally and they should be related to the optimum convergence or minimum quantization error of dithering. In this paper, we show this relationship and theoretical improvements.
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