Method and apparatus for training a neural network to learn and use fidelity metric as a control mechanism

J. Lubin (Inventor), H.A. Peterson (Inventor), C.D. Spence (Inventor), B. Vries, de (Inventor)

Research output: PatentPatent publication

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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.
Original languageEnglish
Patent numberUS6075884
Publication statusPublished - 13 Jun 2000

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