Temel Kavramlar
Improving legibility of small motions through axial motion magnification.
Özet
The content introduces the concept of axial motion magnification to enhance the legibility of small motions in videos. It addresses the limitations of existing motion magnification methods and proposes a novel approach to magnify decomposed motions along user-specified axes. The content covers the introduction, related work, learning-based axial motion magnification, neural networks, training data generation, experiments, and an ablation study. It highlights the effectiveness of the proposed method in both axial and generic motion magnification scenarios.
İstatistikler
Video motion magnification amplifies small motions.
Axial motion magnification improves legibility.
Proposed method enhances motion understanding.
Synthetic training dataset for axial motion magnification.
Training on 100k samples for 50 epochs.
Alıntılar
"Our method produces magnified output frames without artifacts."
"Our proposed method significantly enhances the legibility of motions along chosen axes."