Support Vector Regression Based Video Quality Prediction

@article{Wang2011SupportVR,
  title={Support Vector Regression Based Video Quality Prediction},
  author={Beibei Wang and Dekun Zou and Ran Ding},
  journal={2011 IEEE International Symposium on Multimedia},
  year={2011},
  pages={476-481}
}
To measure the quality of experience (QoE) of a video, the current approaches of objective quality metrics development focus on how to design a video quality model, which considers the effects of the extracted features and models the Human Visual System (HVS). However, video quality metrics which try to model the HVS confronts a fact that HVS is too complicated and not well understood to model. In this paper, instead of modeling the objective quality metrics with some functions, we proposed to… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 13 references

Image quality assessment: From error meansurement to structual similarity

  • Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli
  • IEEE Trans/ Image Process.,
  • 2005
1 Excerpt