Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Universal Image Manipulation Detection using Deep Siamese Convolutional
  Neural Network   Detection of different types of image editing operations carried out on an
image is an important problem in image forensics. It gives the information
about the processing history of an image, and also can expose forgeries present
in an image. There have been few methods proposed to detect different types of
image editing operations in a single framework. However, all the operations
have to be known a priori in the training phase. But, in real-forensics
scenarios it may not be possible to know about the editing operations carried
out on an image. To solve this problem, we propose a novel deep learning-based
method which can differentiate between different types of image editing
operations. The proposed method classifies image patches in a pair-wise fashion
as either similarly or differently processed using a deep siamese neural
network. Once the network learns feature that can discriminate between
different image editing operations, it can differentiate between different
image editing operations not present in the training stage. The experimental
results show the efficacy of the proposed method in detecting/discriminating
different image editing operations.

11
The categories of this paper are: hep-lat
19
The categories of this paper are: eess
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom