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• W1913675087 abstract "The increasing use of compression standards in broadcasting digital TV has raised the need for established criteria to measure perceived quality. This paper presents a methodology using circular backpropagation (CBP) neural networks for the objective quality assessment of MPEG video streams. Objective features are continuously extracted from compressed video streams on a frame-by-frame basis; they feed the CBP network estimating the corresponding perceived quality. The resulting adaptive modeling of subjective perception supports a real-time system for monitoring displayed video quality." @default.
• W1913675087 created "2016-06-24" @default.
• W1913675087 creator A5000985243 @default.
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• W1913675087 date "2002-11-13" @default.
• W1913675087 modified "2023-09-27" @default.
• W1913675087 title "Objective assessment of MPEG-video quality: a neural-network approach" @default.
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• W1913675087 doi "https://doi.org/10.1109/ijcnn.2001.939572" @default.
• W1913675087 hasPublicationYear "2002" @default.
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