Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Trimap Generation for Image Matting   Image matting is a longstanding problem in computational photography.
Although, it has been studied for more than two decades, yet there is a
challenge of developing an automatic matting algorithm which does not require
any human efforts. Most of the state-of-the-art matting algorithms require
human intervention in the form of trimap or scribbles to generate the alpha
matte form the input image. In this paper, we present a simple and efficient
approach to automatically generate the trimap from the input image and make the
whole matting process free from human-in-the-loop. We use learning based
matting method to generate the matte from the automatically generated trimap.
Experimental results demonstrate that our method produces good quality trimap
which results into accurate matte estimation. We validate our results by
replacing the automatically generated trimap by manually created trimap while
using the same image matting algorithm.

8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn