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IPM
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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 8802
School of Cognitive Sciences
  Title:   In-service video quality measurements in optical fiber links based on neural network
  Author(s): 
1.  Nasiri Avanaki
2.  Reza Ebrahimpour
  Status:   Published
  Journal: Neural Network World
  Vol.:  5
  Year:  2007
  Pages:   457-468
  Supported by:  IPM
  Abstract:
Video quality assessment plays a key role in evaluating and optimizing video systems. In this paper, objective image quality metric, appropriate for the fiber optic image transmission line without accessing to the original images, is evaluated by conventional neural networks. It allows an efficient continuous time scoring of the video stream efficiently by a mark on a scale of zero to five. The image database in this research has been collected in the Semnan University. The certainty of the trained network is above 81 percent. Simulation results show that the proposed method is highly correlated with experimental data collected through the subjective experiments.

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