Publikation:

A no-reference video quality assessment based on Laplacian pyramids

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Saupe_265007.pdf
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2013

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Hirakawa, Keigo
Asari, Vijayan

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http://nbn-resolving.de/urn:nbn:de:bsz:352-265007
DOI (zitierfähiger Link)
https://doi.org/10.1109/ICIP.2013.6738011
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2013 IEEE International Conference on Image Processing. IEEE, 2013, pp. 49-53. ISBN 978-1-4799-2341-0. Available under: doi: 10.1109/ICIP.2013.6738011

Zusammenfassung

This paper presents an approach to predict the quality of compressed videos with content of natural scenes. The method is focused on measuring the distortion of compressed video without reference. There are two main steps of the proposed method: measuring distortion and predicting video quality. Each frame of the distorted video sequence is first decomposed to an N-subband Laplacian pyramid, then their intra-subband and inter-subband statistical features are fully exploited. Three intra-subband features and three inter-subband features are taken as inputs of the prediction model. Its output is a single score as the predicted video quality. The performance of the proposed method is evaluated on the LIVE video database and the LIVE mobile video database. Results show that the predicted quality scores are well correlated with the mean opinion scores associated to the subjective assessment.

Zusammenfassung in einer weiteren Sprache

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004 Informatik

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2013 20th IEEE International Conference on Image Processing (ICIP), 15. Sept. 2013 - 18. Sept. 2013, Melbourne, Australia
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ISO 690ZHU, Kongfeng, Keigo HIRAKAWA, Vijayan ASARI, Dietmar SAUPE, 2013. A no-reference video quality assessment based on Laplacian pyramids. 2013 20th IEEE International Conference on Image Processing (ICIP). Melbourne, Australia, 15. Sept. 2013 - 18. Sept. 2013. In: 2013 IEEE International Conference on Image Processing. IEEE, 2013, pp. 49-53. ISBN 978-1-4799-2341-0. Available under: doi: 10.1109/ICIP.2013.6738011
BibTex
@inproceedings{Zhu2013-09noref-26500,
  year={2013},
  doi={10.1109/ICIP.2013.6738011},
  title={A no-reference video quality assessment based on Laplacian pyramids},
  isbn={978-1-4799-2341-0},
  publisher={IEEE},
  booktitle={2013 IEEE International Conference on Image Processing},
  pages={49--53},
  author={Zhu, Kongfeng and Hirakawa, Keigo and Asari, Vijayan and Saupe, Dietmar}
}
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