发明名称 Method and apparatus for training a neural network to learn and use fidelity metric as a control mechanism
摘要 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.
申请公布号 US6075884(A) 申请公布日期 2000.06.13
申请号 US19970828161 申请日期 1997.03.28
申请人 SARNOFF CORPORATION 发明人 LUBIN, JEFFREY;PETERSON, HEIDI A.;SPENCE, CLAY D.;DE VRIES, AALBERT
分类号 G06K9/66;G06T9/00;H04N7/26;H04N7/50;(IPC1-7):G06K9/36;G06T1/40 主分类号 G06K9/66
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