Visual Rhythm Prediction with Feature-Aligning Network

Yutong Xie
Yutong Xie
Zihao Xu
Zihao Xu

MVA, 2019.

Cited by: 1|Views3
EI

Abstract:

In this paper, we propose a data-driven visual rhythm prediction method, which overcomes the previous worksu0027 deficiency that predictions are made primarily by human-crafted hard rules. In our approach, we first extract features including original frames and their residuals, optical flow, scene change, and body pose. These visual featu...More

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