Global Motion Vector Estimation

An image sequence comprises at least a first image and a second image. A motion vector (MV(1)) is associated to these first and second images and is defined in a coordinate system having at least a first direction and a second direction, the second direction being different from said first direction...

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description An image sequence comprises at least a first image and a second image. A motion vector (MV(1)) is associated to these first and second images and is defined in a coordinate system having at least a first direction and a second direction, the second direction being different from said first direction. This motion vector has a first previous component value (MVD1(0)) in the first direction. A method processes both images in order to determine an estimate of the motion vector based on the first previous component value. To this purpose, the method defines a first image portion in the first image and a second image portion in the second image based on the first previous component value of the motion vector. Then, the method determines a first characteristics vector for the first image in the first image portion and a second characteristics vector for the second image in the second image portion. The first and second characteristics vectors are compared to estimate a first shift value between the first and second images. At last, a second current component value and a first current component value are obtained and the motion vector is defined by these first and second current component values.
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A motion vector (MV(1)) is associated to these first and second images and is defined in a coordinate system having at least a first direction and a second direction, the second direction being different from said first direction. This motion vector has a first previous component value (MVD1(0)) in the first direction. A method processes both images in order to determine an estimate of the motion vector based on the first previous component value. To this purpose, the method defines a first image portion in the first image and a second image portion in the second image based on the first previous component value of the motion vector. Then, the method determines a first characteristics vector for the first image in the first image portion and a second characteristics vector for the second image in the second image portion. The first and second characteristics vectors are compared to estimate a first shift value between the first and second images. 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subjects ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PICTORIAL COMMUNICATION, e.g. TELEVISION
title Global Motion Vector Estimation
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