发明名称 METHOD AND APPARATUS FOR TRAINING A NEURAL NETWORK TO USE A FIDELITY METRIC
摘要 <p>A signal processing apparatus (100, 400) 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) (111) to a manageable subjective image quality ratings. The signal processing apparatus incorporates a VDM (111) and a neural network (112). The VDM (111) receives input image sequences and generates fidelity metrics, which are received by a neural network (112). The neural network (112) is trained to learn and use the fidelity metrics as a control mechanism, e.g., to control a video encoder.</p>
申请公布号 WO1997039417(A2) 申请公布日期 1997.10.23
申请号 US1997005224 申请日期 1997.03.31
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