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Designing objective quality metrics for panoramic videos based on human perception
Abstract : The creation of high quality panoramic videos for immersive VR content is commonly done using a rig with multiple cameras covering the required scene. Unfortunately, this setup introduces both spatial and temporal artifacts due to the difference in optical centers as well as imperfect synchronization of cameras. Traditional image quality metrics are inadequate for describing geometric distortions in panoramic videos. In this paper, we propose an objective quality assessment approach for calculating these distortions based on optical flow coupled with an existing salience detection model. Our approach is validated with a human-centered study using error annotations and eye-tracking. Preliminary results indicate a good correlation between errors detected by the algorithm and human perception of errors.
Cited literature [10 references]
https://hal.inria.fr/hal-01849043
Contributor : Sandra Nabil <>
Submitted on : Wednesday, July 25, 2018 - 2:17:18 PM
Last modification on : Monday, December 14, 2020 - 3:36:55 PM
Long-term archiving on: : Friday, October 26, 2018 - 2:36:16 PM
Contributor : Sandra Nabil <>
Submitted on : Wednesday, July 25, 2018 - 2:17:18 PM
Last modification on : Monday, December 14, 2020 - 3:36:55 PM
Long-term archiving on: : Friday, October 26, 2018 - 2:36:16 PM
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