Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Simple Change Comparison Method for Image Sequences Based on
  Uncertainty Coefficient   For identification of change information in image sequences, most studies
focus on change detection in one image sequence, while few studies have
considered the change level comparison between two different image sequences.
Moreover, most studies require the detection of image information in details,
for example, object detection. Based on Uncertainty Coefficient(UC), this paper
proposes an innovative method CCUC for change comparison between two image
sequences. The proposed method is computationally efficient and simple to
implement. The change comparison stems from video monitoring system. The
limited number of provided screens and a large number of monitoring cameras
require the videos or image sequences ordered by change level. We demonstrate
this new method by applying it on two publicly available image sequences. The
results are able to show the method can distinguish the different change level
for sequences.

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The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
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The categories of this paper are: alg-geom
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: gr-qc
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat