Method and apparatus for training a neural network to learn and use fidelity metric as a control mechanism
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United States of America Patent
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Jun 13, 2000
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Mar 28, 1997
filing date -
Mar 29, 1996
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Abstract
A signal processing apparatus and concomitant method for learning and using fidelity metric as a control mechanism and to process large quantities of fidelity metrics from a visual discrimination measure (VDM) to a manageable subjective image quality ratings. The signal processing apparatus incorporates a VDM and a neural network. The VDM receives input image sequences and generates fidelity metrics, which are received by a neural network. The neural network is trained to learn and use the fidelity metrics as a control mechanism, e.g., to control a video encoder.
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