A model of proto-object based saliency

A model of proto-object based saliency

Organisms use the process of selective attention to optimally allocate their computational resources to the instantaneously most relevant subsets of a visual scene, ensuring that they can parse the scene in real time. Many models of bottom-up attentional selection assume that elementary image features, like intensity, color and orientation, attract attention. Gestalt psychologists, however, arg...

A proto-object based saliency model in three-dimensional space

Most models of visual saliency operate on two-dimensional images, using elementary image features such as intensity, color, or orientation. The human visual system, however, needs to function in complex three-dimensional environments, where depth information is often available and may be used to guide the bottom-up attentional selection process. In this report we extend a model of proto-object ...

A Proto-object Based Visual Attention Model

One of the first steps of any visual system is that of locating suitable interest points, ‘salient regions’, in the scene, to detect events, and eventually to direct gaze toward these locations. In the last few years, object-based visual attention models have received an increasing interest in computational neuroscience and in computer vision, the problem, in this case, being that of creating a...

Towards Object-Based Saliency

Eye movements during scene comprehension can be seen as a series of decisions where and when to look. There has been substantial work towards determining likely fixation locations and the best known methods involve the computation of saliency maps which assign “interestingness” values to each coordinate of analyzed image. However these methods are usually purely bottom-up and only consider low-...

Where to look next?: Proto-object based priority in a TVA-based model of visual attention