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. 2022 Nov 23;16:1022041. doi: 10.3389/fnins.2022.1022041

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Copyright © 2022 Wang, Li and Jiang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The overall framework of our proposed S³DAVS method. It contains DAVS generator, QAF extractor, and image quality regressor. The viewport sequence produced by the DAVS generator will be sent into the QAF extractor and then the image quality regressor will predict the final quality score based on the features coming from the QAF extractor. Source for the photos in this figure: open source OIQA Database.