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In this work we compare a simple and a complex Machine Learning (ML) method used for the purpose of Video Quality Assessment (VQA). The simple ML method chosen is the Elastic Net (EN), which is a regularized linear regression model and easier to interpret. The more complex method chosen is Support Vector Regression (SVR), which has gained popularity in VQA research. Additionally, we present an ML-based...
In multimodal presentations the perceived audiovisual quality assessment is significantly influenced by the content of both the audio and visual tracks. Based on our earlier subjective quality test for finding the optimal trade-off between audio and video quality, this paper proposes a novel method for relative multimodal complexity analysis to derive the fusion parameter in objective audiovisual...
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