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- W2155346739 abstract "Publisher Summary Camera zooming can be regarded as a 2D Doppler effect. This chapter discusses the techniques for Doppler estimation from 1D signals, based on data partition and linear regression on a set of time-delay measurements. Fast discrete-time techniques for time-delay estimation with sub-sample accuracy, based on a parabolic interpolation of estimated cross-correlation samples, are devised and analyzed for random 1D signals. Among the techniques for Doppler estimation, an indirect estimation method based on data partition and linear regression on a set of time-delay measurements is devised. The chapter mentions a motion estimation procedure with sub-pixel accuracy. It is based on a non-stationary model depending on local properties. Motion compensation brings about a saving in bit-rate, due to small prediction errors and from the reduction in motion-vector coding. A fine estimation with sub-pixel accuracy can take into account more information, giving better results in the prediction of the picture." @default.
- W2155346739 created "2016-06-24" @default.
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- W2155346739 date "1997-01-01" @default.
- W2155346739 modified "2023-09-27" @default.
- W2155346739 title "An Optimal Estimator of Camera Motion by a Non-Stationary Image Model" @default.
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- W2155346739 doi "https://doi.org/10.1016/b978-044482307-6/50008-4" @default.
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