A perceptual quality metric for video frame interpolation


A perceptual quality metric for video frame interpolation

Advances in display technology have made viewing content more immersive and enjoyable.

4K 60FPS video offers a more satisfying experience than 1080P 30FPS, but it is more expensive in terms of data.

Video frame interpolation is used to increase the resolution or frames within a video sequence, creating a more pleasant viewing experience.

Researchers have created a neural network to measure the quality of video interpolation results, which takes two frames as input and outputs a score representing their perceptual similarity.

The network is trained using a combination of L1 and SSIM objective metrics and a large video frame interpolation perceptual similarity dataset.

This method does not rely on reference frames and can be run on client devices.

#shorts #techshorts #technews #tech #technology #video interpolation methods #frames #delivered video

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