Disney Research

Abstract

Non-linear Warping and Warp Coding for Content-Adaptive Prediction in Advanced Video Coding Applications

This paper presents a new concept for scalable video coding, which is content adaptive and art-directable. Video retargeting is applied to scale video between different resolutions and aspect ratios without introducing inacceptable distortions or cutting off content. The non-linear warping operations are integrated into a spatial scalability framework, which includes two new building blocks, i.e. non-linear warping prediction and warp coding. Efficient algorithms for both processes are presented, tested and optimized. The presented results indicate that our non-linear scaling and warp coding algorithms provide efficient performance compared to standard linear scaling methods. Further, our advanced scaling algorithms, i.e. EWA splatting in combination with backward mapping, may be very useful for linear scaling as well.

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