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Objective Evaluation for Compressed Video Quality Based on Fuzzy Synthetic Judgment

  • Wen Ji
  • Haoshan Shi
  • Ying Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)

Abstract

In this paper, a new effective and reliable objective video evaluation model is proposed based on fuzzy synthetic judgment. Firstly, the essential design of the model is described systemically. Then the fuzzy membership functions of all factors which affect compressed video quality are determined. And the factor weights are also estimated by approximate algorithm. This model highlights a comprehensive evaluation by taking account of multiple properties of the compressed video which affect the whole video sequence, such as quality, fluency and motion info. On the other side, this model has well capability of compatibility with other evaluation models or standards. Simulation results demonstrate the advantages of the fuzzy objective video quality evaluation model especially in comprehensive judgment of the whole video.

Keywords

Video Sequence Video Quality Motion Info Objective Video Quality Assessment Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wen Ji
    • 1
  • Haoshan Shi
    • 1
  • Ying Wang
    • 1
  1. 1.Dept. Electronic EngineeringNorthwestern Polytechnical UniversityXi’an ShaanxiP.R. China

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