Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video
  Interpolation   Video interpolation increases the temporal resolution of a video sequence by
synthesizing intermediate frames between two consecutive frames. We propose a
novel deep-learning-based video interpolation algorithm based on bilateral
motion estimation. First, we develop the bilateral motion network with the
bilateral cost volume to estimate bilateral motions accurately. Then, we
approximate bi-directional motions to predict a different kind of bilateral
motions. We then warp the two input frames using the estimated bilateral
motions. Next, we develop the dynamic filter generation network to yield
dynamic blending filters. Finally, we combine the warped frames using the
dynamic blending filters to generate intermediate frames. Experimental results
show that the proposed algorithm outperforms the state-of-the-art video
interpolation algorithms on several benchmark datasets.

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The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th