Salient Motion Features for Video Quality Assessment

  title={Salient Motion Features for Video Quality Assessment},
  author={Dubravko Culibrk and Milan Mirkovic and Vladimir Zlokolica and Maja Pokric and Vladimir S. Crnojevic and Dragan Kukolj},
  journal={IEEE Transactions on Image Processing},
Design of algorithms that are able to estimate video quality as perceived by human observers is of interest for a number of applications. Depending on the video content, the artifacts introduced by the coding process can be more or less pronounced and diversely affect the quality of videos, as estimated by humans. While it is well understood that motion affects both human attention and coding quality, this relationship has only recently started gaining attention among the research community… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 45 references

Saliency inspired modeling of packet-loss visibility in decoded videos

T. Liu, X. Feng, A. Reibman, Y. Wang
Proc. Int. Workshop VPQM, 2009, pp. 1–4. • 2009
View 5 Excerpts
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Computational modelling of visual attention

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