Saliency Driven Perceptual Quality Metric for Omnidirectional Visual Content
The problem of objectively measuring perceptual quality of omnidirectional visual content arises in many immersive imaging applications and particularly in compression. The interactive nature of this type of content limits the performance of earlier methods designed for static images or for video with a predefined dynamic. The non-deterministic impact must be addressed using statistical approach. One of the ways to describe, analyze and predict viewer interactions in omnidirectional imaging is through estimation of visual attention. We propose an objective metric to measure perceptual quality of omnidirectional visual content considering visual attention information.
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Upenik, E., & Ebrahimi, T. (2019). Saliency Driven Perceptual Quality Metric for Omnidirectional Visual Content. 2019 IEEE International Conference on Image Processing (ICIP). IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan. https://doi.org/10.1109/ICIP.2019.8803637
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Saliency_Driven_Perceptual_Quality_Metric_for_Omnidirectional_Visual_Content - preprint.pdf
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