Proto-Object Based Saliency Model With Texture Detection Channel.

ABSTRACT: The amount of visual information projected from the retina to the brain exceeds the information processing capacity of the latter. Attention, therefore, functions as a filter to highlight important information at multiple stages of the visual pathway that requires further and more detailed analysis. Among other functions, this determines where to fixate since only the fovea allows for high resolution imaging. Visual saliency modeling, i.e. understanding how the brain selects important information to analyze further and to determine where to fixate next, is an important research topic in computational neuroscience and computer vision. Most existing bottom-up saliency models use low-level features such as intensity and color, while some models employ high-level features, like faces. However,

SUBMITTER: Uejima T 

PROVIDER: S-EPMC7541834 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature