2
Faculty of Electrical and Computer Engineering (ECE), Semnan University, Semnan, Iran.
10.22075/mseee.2024.33159.1143
Abstract
There are different images whenever people read a magazine, browse the Internet, or use social media. While humans can recall thousands of images in everyday life along with their visual details, not all images in their memory are the same, even though they have access to an abundance of visual information daily. Other researchers have examined how image features affect perception. In our study, we explore how local images affect image memorability. First, we introduce new datasets with local images. Secondly, we design a visual memory game that utilizes a human agent to quantify image memorability. Finally, we predict memorability scores with ResNet 50 and ResNet 101. The result was that local images impacted image memorability.
Shokri, A., & Yaghmaee, F. (2024). Understanding Image Memorability through Localized Stimuli. Modeling and Simulation in Electrical and Electronics Engineering, (), -. doi: 10.22075/mseee.2024.33159.1143
MLA
Amir Shokri; Farzin Yaghmaee. "Understanding Image Memorability through Localized Stimuli". Modeling and Simulation in Electrical and Electronics Engineering, , , 2024, -. doi: 10.22075/mseee.2024.33159.1143
HARVARD
Shokri, A., Yaghmaee, F. (2024). 'Understanding Image Memorability through Localized Stimuli', Modeling and Simulation in Electrical and Electronics Engineering, (), pp. -. doi: 10.22075/mseee.2024.33159.1143
VANCOUVER
Shokri, A., Yaghmaee, F. Understanding Image Memorability through Localized Stimuli. Modeling and Simulation in Electrical and Electronics Engineering, 2024; (): -. doi: 10.22075/mseee.2024.33159.1143
)