A Convolutional Neural Network Approach for Objective Video Quality Assessment

@article{Callet2006ACN,
  title={A Convolutional Neural Network Approach for Objective Video Quality Assessment},
  author={Patrick Le Callet and Christian Viard-Gaudin and Dominique Barba},
  journal={IEEE Transactions on Neural Networks},
  year={2006},
  volume={17},
  pages={1316-1327}
}
This paper describes an application of neural networks in the field of objective measurement method designed to automatically assess the perceived quality of digital videos. This challenging issue aims to emulate human judgment and to replace very complex and time consuming subjective quality assessment. Several metrics have been proposed in literature to tackle this issue. They are based on a general framework that combines different stages, each of them addressing complex problems. The… CONTINUE READING
Highly Cited
This paper has 188 citations. REVIEW CITATIONS

Topics

Statistics

02040'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

188 Citations

Semantic Scholar estimates that this publication has 188 citations based on the available data.

See our FAQ for additional information.