The Matsushita 6-MHz NTSC-compatible widescreen television system using quadrature amplitude modulation (QAM) of the video carrier and inverse Nyquist filtering is an advanced television system using the side panel method. The principle of QAM is reviewed, and the encoding and decoding processes are discussed. Methods for time expansion and time compression for each panel and very-low-frequency frequency splitting (e.g., 0.1 MHz) at a sampling frequency of 14.3 MHz are detailed. Transmitting and regenerating the colour subcarrier for a multiplex signal and a method of preventing noticeable differences between panels are also described.>

In this paper, we propose to use B-Splines to represent digital curves. We have developed an efficient algorithm to locate corners and at the same time encode curve segments between them using B-Splines. Used in conjunction with our subpixel edge detector, [1], it allows us to obtain accurate position of the corners, as needed in many registration problems such as stereo matching and motion parameter estimation. In addition to corners, we detect points of significant curvature between them. The resulting representation is a good approximation of the original, in the sense that it makes interesting points explicit, and achieves significant data compression.

In this paper, we look at the issue of accurate estimation of the three-dimensional motion parameters of a rigid body from a sequence of synthetic images, and relate the effect of some parameters to the shape of an error function. We first consider the case where only a small set of corresponding points is identified and suggest that a technique called regularization improves the quality and stability of a solution. We then observe that, if more pairs of corresponding points are available, the error function becomes smooth and the solution stable. Finally, we try to improve the quality of estimation by considering more than two consecutive frames for a moving camera looking at a stationary scene, and summing the error functions obtained for any two consecutive frames. Surprisingly enough, this technique does not improve stability unless we use regularization again.