Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: What Makes Natural Scene Memorable?   Recent studies on image memorability have shed light on the visual features
that make generic images, object images or face photographs memorable. However,
a clear understanding and reliable estimation of natural scene memorability
remain elusive. In this paper, we provide an attempt to answer: "what exactly
makes natural scene memorable". Specifically, we first build LNSIM, a
large-scale natural scene image memorability database (containing 2,632 images
and memorability annotations). Then, we mine our database to investigate how
low-, middle- and high-level handcrafted features affect the memorability of
natural scene. In particular, we find that high-level feature of scene category
is rather correlated with natural scene memorability. Thus, we propose a deep
neural network based natural scene memorability (DeepNSM) predictor, which
takes advantage of scene category. Finally, the experimental results validate
the effectiveness of DeepNSM.

14
The categories of this paper are: math-ph
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess