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Video quality assessment accounting for temporal visual masking of local flicker

Video quality assessment accounting for temporal visual masking of local flicker. Lark Kwon Choi, Alan Conrad Bovik Signal Processing: Image Communication 2018. Outline. Motivation Background FS-MOVIE Model Experiments Conclusion. Motivation.

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Video quality assessment accounting for temporal visual masking of local flicker

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  1. Video quality assessment accounting for temporal visual masking of local flicker Lark Kwon Choi, Alan Conrad Bovik Signal Processing: Image Communication 2018

  2. Outline • Motivation • Background • FS-MOVIE Model • Experiments • Conclusion

  3. Motivation • Effect of temporal visual masking on the visibility of temporal distortions, e.g., local flicker can be strongly reduced by motion • computational models of temporal visual masking • motion silencing illusion • thetemporal flicker masking model augments the MOVIE Index

  4. Background • Visual Masking • Motion silencing of flicker distortions • Motion perception • From MOVIE to FS-MOVIE

  5. Flicker sensitive motion tuned VQA model (FS-MOVIE)

  6. Gabor decomposition

  7. Spatial FS-MOVIE index

  8. Spatial FS-MOVIE index

  9. Motion tuned video integrity

  10. Motion tuned video integrity

  11. Motion tuned video integrity

  12. Modeling V1 cortical neuron responses

  13. Temporal flicker masking ---The nature of flicker

  14. Temporal flicker masking ---The nature of flicker

  15. Temporal flicker masking ---Perceptual flicker visibility index temporally masked perceptual flicker visibility index flicker sensitive index

  16. Temporal FS-MOVIE index

  17. FS-MOVIE index

  18. Temporal pooling

  19. Experiments: bitrate & motion

  20. Experiments: temporal pooling

  21. Experiments: parameter variation of temporal pooling

  22. Experiments: computational complexity

  23. Conclusion • A new VQA model called FS-MOVIE that accounts for temporal visual masking of local flicker in distorted videos by augmenting the MOVIE framework.

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