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A full reference video quality measure based on motion differences and saliency maps evaluation

Benhur Ortiz Jaramillo UGent, Asli Kumcu UGent, Ljiljana Platisa UGent and Wilfried Philips UGent (2014) Proceedings of the 9th International Conference on Computer Vision Theory and Applications. 2. p.714-722
abstract
While subjective assessment is recognized as the most reliable means of quantifying video quality, objective assessment has proven to be a desirable alternative. Existing video quality indices achieve reasonable prediction of human quality scores, and are able to well predict quality degradation due to spatial distortions but not so well those due to temporal distortions. In this paper, we propose a perception-based quality index in which the novelty is the direct use of motion information to extract temporal distortions and to model the human visual attention. Temporal distortions are computed from optical flow and common vector metrics. Results of psychovisual experiments are used for modeling the human visual attention. Results show that the proposed index is competitive with current quality indices presented in the state of art. Additionally, the proposed index is much faster than other indices also including a temporal distortion measure.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
saliency maps, temporal distortions, video quality assessment., Dense optical flow, psychophysics
in
Proceedings of the 9th International Conference on Computer Vision Theory and Applications
editor
Sebastiano Battiato and José Braz
volume
2
issue title
PANORAMA
pages
714 - 722
publisher
SCITEPRESS Digital Library
conference name
International Conference on Computer Vision Theory and Applications
conference location
Lisbon, Portugal
conference start
2014-01-05
conference end
2014-01-08
ISBN
9789897580048
DOI
10.5220/0004870607140722
project
PANORAMA project
project
iMinds ICON Telesurgery project
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
4233401
handle
http://hdl.handle.net/1854/LU-4233401
date created
2014-01-15 14:36:25
date last changed
2016-12-19 15:37:21
@inproceedings{4233401,
  abstract     = {While subjective assessment is recognized as the most reliable means of quantifying video quality, objective assessment has proven to be a desirable alternative. Existing video quality indices achieve reasonable prediction of human quality scores, and are able to well predict quality degradation due to spatial distortions but not so well those due to temporal distortions. In this paper, we propose a perception-based quality index in which the novelty is the direct use of motion information to extract temporal distortions and to model the human visual attention. Temporal distortions are computed from optical flow and common vector metrics. Results of psychovisual experiments are used for modeling the human visual attention. Results show that the proposed index is competitive with current quality indices presented in the state of art. Additionally, the proposed index is much faster than other indices also
including a temporal distortion measure.},
  author       = {Ortiz Jaramillo, Benhur and Kumcu, Asli and Platisa, Ljiljana and Philips, Wilfried},
  booktitle    = {Proceedings of the 9th International Conference on Computer Vision Theory and Applications},
  editor       = {Battiato, Sebastiano and Braz, Jos{\'e}},
  isbn         = {9789897580048},
  keyword      = {saliency maps,temporal distortions,video quality assessment.,Dense optical flow,psychophysics},
  language     = {eng},
  location     = {Lisbon, Portugal},
  pages        = {714--722},
  publisher    = {SCITEPRESS Digital Library},
  title        = {A full reference video quality measure based on motion differences and saliency maps evaluation},
  url          = {http://dx.doi.org/10.5220/0004870607140722},
  volume       = {2},
  year         = {2014},
}

Chicago
Ortiz Jaramillo, Benhur, Asli Kumcu, Ljiljana Platisa, and Wilfried Philips. 2014. “A Full Reference Video Quality Measure Based on Motion Differences and Saliency Maps Evaluation.” In Proceedings of the 9th International Conference on Computer Vision Theory and Applications, ed. Sebastiano Battiato and José Braz, 2:714–722. SCITEPRESS Digital Library.
APA
Ortiz Jaramillo, B., Kumcu, A., Platisa, L., & Philips, W. (2014). A full reference video quality measure based on motion differences and saliency maps evaluation. In S. Battiato & J. Braz (Eds.), Proceedings of the 9th International Conference on Computer Vision Theory and Applications (Vol. 2, pp. 714–722). Presented at the International Conference on Computer Vision Theory and Applications, SCITEPRESS Digital Library.
Vancouver
1.
Ortiz Jaramillo B, Kumcu A, Platisa L, Philips W. A full reference video quality measure based on motion differences and saliency maps evaluation. In: Battiato S, Braz J, editors. Proceedings of the 9th International Conference on Computer Vision Theory and Applications. SCITEPRESS Digital Library; 2014. p. 714–22.
MLA
Ortiz Jaramillo, Benhur, Asli Kumcu, Ljiljana Platisa, et al. “A Full Reference Video Quality Measure Based on Motion Differences and Saliency Maps Evaluation.” Proceedings of the 9th International Conference on Computer Vision Theory and Applications. Ed. Sebastiano Battiato & José Braz. Vol. 2. SCITEPRESS Digital Library, 2014. 714–722. Print.