Parametric estimation of structural similarity degradation for video transmission over error‐prone networks | Zendy

Kwon YoungJae | Zendy; Lee JongSeok | Zendy

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Parametric estimation of structural similarity degradation for video transmission over error‐prone networks

Author(s) -

Kwon YoungJae,

Lee JongSeok

Publication year - 2013

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

ISSN - 1350-911X

DOI - 10.1049/el.2013.1951

Subject(s) - degradation (telecommunications) , parametric statistics , computer science , similarity (geometry) , transmission (telecommunications) , structural similarity , estimation , algorithm , electronic engineering , artificial intelligence , biological system , mathematics , engineering , telecommunications , statistics , biology , image (mathematics) , systems engineering

A parametric model to estimate the degradation of objective video quality over error‐prone networks is proposed. The model estimates an expected quality degradation in terms of one of the most reliable perceptual quality metrics, structural similarities (SSIMs), for a given encoded video and network condition described by a packet loss rate. The simulation results demonstrate that the proposed model can estimate the expected SSIM degradation of H.264/ advanced video coding encoded videos with high accuracy.

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