2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDTEC-6.9
Paper Title DFPN: DEFORMABLE FRAME PREDICTION NETWORK
Authors Mustafa Akin Yilmaz, Ahmet Murat Tekalp, Koç University, Turkey
SessionTEC-6: Image and Video Processing 2
LocationArea G
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Image and Video Processing: Interpolation, super-resolution, and mosaicing
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Abstract Learned frame prediction is a current problem of interest in computer vision and video processing/compression. Although several deep network architectures have been proposed for learned frame prediction, to the best of our knowledge, there is no work based on using deformable convolutions for frame prediction. To this effect, we propose a deformable frame prediction network (DFPN) for task-oriented implicit motion modeling and next frame prediction. Experimental results demonstrate that the proposed DFPN model achieves state of the art results in next frame prediction in sequences with global motion. Our models and results are available https://github.com/makinyilmaz/DFPN.