Method and apparatus for spawning specialist belief propagation networks based upon data classification
First Claim
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1. A method for processing image data, comprising the steps of:
- employing a main belief propagation network for classifying one or more features of the image data;
employing a monitor belief propagation network for determining one or more classifications of the image data as belonging to one of a background, foreground or both; and
spawning a specialist belief propagation network to process image data associated with one or more of the one or more determined classifications.
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Abstract
A method and apparatus for processing image data is provided. The method includes the steps of employing a main processing network for classifying one or more features of the image data, employing a monitor processing network for determining one or more confusing classifications of the image data, and spawning a specialist processing network to process image data associated with the one or more confusing classifications.
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20 Claims
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1. A method for processing image data, comprising the steps of:
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employing a main belief propagation network for classifying one or more features of the image data; employing a monitor belief propagation network for determining one or more classifications of the image data as belonging to one of a background, foreground or both; and spawning a specialist belief propagation network to process image data associated with one or more of the one or more determined classifications. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification