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.


Published in:
2019 IEEE International Conference on Image Processing (ICIP)
Presented at:
IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, September 22-25, 2019
Year:
2019
Publisher:
IEEE
ISBN:
978-1-5386-6249-6
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Note: The status of this file is: Anyone


 Record created 2019-05-16, last modified 2020-10-24

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