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Objective Evaluation for Compressed Video Quality Based on Fuzzy Synthetic Judgment

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Fuzzy Systems and Knowledge Discovery (FSKD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4223))

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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.

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References

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© 2006 Springer-Verlag Berlin Heidelberg

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Ji, W., Shi, H., Wang, Y. (2006). Objective Evaluation for Compressed Video Quality Based on Fuzzy Synthetic Judgment. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_92

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  • DOI: https://doi.org/10.1007/11881599_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45916-3

  • Online ISBN: 978-3-540-45917-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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