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A reduced-reference structural similarity approximation for videos corrupted by channel errors

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Abstract

In this paper we propose a reduced-reference quality assessment algorithm which computes an approximation of the Structural SIMilarity (SSIM) metrics exploiting coding tools provided by the distributed source coding theory. The algorithm has been tested to evaluate the quality of decoded video bitstreams after transmission over error-prone networks. We evaluate the accuracy of the proposed quality assessment algorithm by measuring the Pearson’s correlation coefficient between the structural similarity metrics computed in full-reference mode and the one provided by the proposed reduced-reference algorithm. The proposed reduced-reference algorithm achieves good correlation values (higher than 0.85 with packet loss rate equal up to 2.5%).

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Authors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, P.zza Leonardo da Vinci, 32 20133, Milan, Italy

    Marco Tagliasacchi, Giuseppe Valenzise, Matteo Naccari & Stefano Tubaro

Authors
  1. Marco Tagliasacchi
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  2. Giuseppe Valenzise
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  3. Matteo Naccari
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  4. Stefano Tubaro
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Corresponding author

Correspondence to Marco Tagliasacchi.

Additional information

This work was presented in part in reference [22] and has been developed within VISNET II, a European Network of Excellence (http://www.visnet-noe.org), funded under the European Commission IST FP6 programme.

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Tagliasacchi, M., Valenzise, G., Naccari, M. et al. A reduced-reference structural similarity approximation for videos corrupted by channel errors. Multimed Tools Appl 48, 471–492 (2010). https://doi.org/10.1007/s11042-010-0473-7

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  • DOI: https://doi.org/10.1007/s11042-010-0473-7

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