Modeling Bottom-Up Visual Attention Using Dihedral Group D4
Permanent lenke
https://hdl.handle.net/10037/10436Dato
2016-08-15Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
Sharma, PuneetSammendrag
In this paper, first, we briefly describe the dihedral group D4 that serves as the basis for
calculating saliency in our proposed model. Second, our saliency model makes two major changes in
a latest state-of-the-art model known as group-based asymmetry. First, based on the properties of
the dihedral group D4, we simplify the asymmetry calculations associated with the measurement
of saliency. This results is an algorithm that reduces the number of calculations by at least half
that makes it the fastest among the six best algorithms used in this research article. Second, in
order to maximize the information across different chromatic and multi-resolution features, the color
image space is de-correlated. We evaluate our algorithm against 10 state-of-the-art saliency models.
Our results show that by using optimal parameters for a given dataset, our proposed model can
outperform the best saliency algorithm in the literature. However, as the differences among the (few)
best saliency models are small, we would like to suggest that our proposed model is among the
best and the fastest among the best. Finally, as a part of future work, we suggest that our proposed
approach on saliency can be extended to include three-dimensional image data.
Beskrivelse
Published version. Source at http://dx.doi.org/10.3390/sym8080079