What is it about?
Next frame prediction is a popular research direction, but existing works about frame prediction are all based on 2D plane video which can not predict frames in high resolution like 360-degree video, Furthermore, they all use complicated networks that costs a lot of time designing and training. However, we predict a future frame of 360-video only by rotating the sphere. This simple method can predict shape deformation accurately, compared with training complicated networks. By inserting the predicted frame in the reference list, we can improve the 360 video compression efficiency.
Photo by Bernard Hermant on Unsplash
Why is it important?
Shape deformation is the most important characteristic of 360-degree video. It also brings many difficulties in coding because it is hard to search for a similar block during motion estimation. We come up with this idea that predicts the shape deformation of the current encoding frame by a convenient but efficient method. In this way, our scheme can improve both BD-gain and accuracy of motion and shape deformation towards 360 standards videos.
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This page is a summary of: 360 video compression based on sphere-rotated frame prediction, IET Image Processing, June 2020, the Institution of Engineering and Technology (the IET), DOI: 10.1049/iet-ipr.2019.1663.
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