TL;DR
MoViDNN is an open-source mobile platform designed to evaluate deep neural network-based video quality enhancement methods, enabling both objective and subjective assessments on mobile devices.
Contribution
It introduces a novel mobile platform that facilitates the evaluation of DNN-based video enhancement techniques specifically on mobile hardware.
Findings
Supports objective metrics like PSNR, SSIM, execution time
Provides subjective evaluation via Mean Score Opinion (MOS)
Open-source platform available for research and development
Abstract
Deep neural network (DNN) based approaches have been intensively studied to improve video quality thanks to their fast advancement in recent years. These approaches are designed mainly for desktop devices due to their high computational cost. However, with the increasing performance of mobile devices in recent years, it became possible to execute DNN based approaches in mobile devices. Despite having the required computational power, utilizing DNNs to improve the video quality for mobile devices is still an active research area. In this paper, we propose an open-source mobile platform, namely MoViDNN, to evaluate DNN based video quality enhancement methods, such as super-resolution, denoising, and deblocking. Our proposed platform can be used to evaluate the DNN based approaches both objectively and subjectively. For objective evaluation, we report common metrics such as execution time,…
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