Method and apparatus for training a neural network to learn and

Image analysis – Learning systems – Neural networks

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382239, G06K 936, G06T 140

Patent

active

060758848

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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