• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Location-Based Saliency Maps from a Fully Connected Layer using Multi-Shapes

Vol. 15, No. 1, January 31, 2021
10.3837/tiis.2021.01.010, Download Paper (Free):

Abstract

Recently, with the development of technology, computer vision research based on the human visual system has been actively conducted. Saliency maps have been used to highlight areas that are visually interesting within the image, but they can suffer from low performance due to external factors, such as an indistinct background or light source. In this study, existing color, brightness, and contrast feature maps are subjected to multiple shape and orientation filters and then connected to a fully connected layer to determine pixel intensities within the image based on location-based weights. The proposed method demonstrates better performance in separating the background from the area of interest in terms of color and brightness in the presence of external elements and noise. Location-based weight normalization is also effective in removing pixels with high intensity that are outside of the image or in non-interest regions. Our proposed method also demonstrates that multi-filter normalization can be processed faster using parallel processing.


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Cite this article

[IEEE Style]
H. Kim, S. Han and C. Jeong, "Location-Based Saliency Maps from a Fully Connected Layer using Multi-Shapes," KSII Transactions on Internet and Information Systems, vol. 15, no. 1, pp. 166-179, 2021. DOI: 10.3837/tiis.2021.01.010.

[ACM Style]
Hoseung Kim, Seong-Soo Han, and Chang-Sung Jeong. 2021. Location-Based Saliency Maps from a Fully Connected Layer using Multi-Shapes. KSII Transactions on Internet and Information Systems, 15, 1, (2021), 166-179. DOI: 10.3837/tiis.2021.01.010.

[BibTeX Style]
@article{tiis:24236, title="Location-Based Saliency Maps from a Fully Connected Layer using Multi-Shapes", author="Hoseung Kim and Seong-Soo Han and Chang-Sung Jeong and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2021.01.010}, volume={15}, number={1}, year="2021", month={January}, pages={166-179}}