A no-reference video quality assessment based on Laplacian pyramids

Kurzanzeige
dc.contributor.authorZhu, Kongfeng
dc.contributor.authorHirakawa, Keigodeu
dc.contributor.authorAsari, Vijayandeu
dc.contributor.authorSaupe, Dietmar
dc.date.accessioned2014-03-04T08:30:40Zdeu
dc.date.available2014-08-31T22:25:05Zdeu
dc.date.issued2013-09
dc.description.abstractThis 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.eng
dc.description.versionpublished
dc.identifier.citation2013 IEEE International Conference on Image Processing : ICIP 2013, Proceedings ; September 15-18, 2013, Melbourne, Victoria, Australia / IEEE Signal Processing Society. - Piscataway, NJ : IEEE Service Center, 2013. - S. 49-53. - ISBN 978-1-4799-2341-0deu
dc.identifier.doi10.1109/ICIP.2013.6738011deu
dc.identifier.ppn401984095deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/26500
dc.language.isoengdeu
dc.legacy.dateIssued2014-03-04deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subject.ddc004deu
dc.titleA no-reference video quality assessment based on Laplacian pyramidseng
dc.typeINPROCEEDINGSdeu
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kops.citation.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}
}
kops.citation.iso690ZHU, 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.2013.6738011deu
kops.citation.iso690ZHU, 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, Sep 15, 2013 - Sep 18, 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.2013.6738011eng
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kops.conferencefield2013 20th IEEE International Conference on Image Processing (ICIP), 15. Sept. 2013 - 18. Sept. 2013, Melbourne, Australiadeu
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kops.sourcefield.plain2013 IEEE International Conference on Image Processing. IEEE, 2013, pp. 49-53. ISBN 978-1-4799-2341-0. Available under: doi: 10.1109/ICIP.2013.6738011eng
kops.submitter.emailchristoph.petzmann@uni-konstanz.dedeu
kops.title.conference2013 20th IEEE International Conference on Image Processing (ICIP)
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