Integrating Bottom-up and Top-down Visual Attention for Object Segmentation

Visual Attention: Bottom-Up Versus Top-Down

Visual attention is attracted by salient stimuli that 'pop out' from their surroundings. Attention can also be voluntarily directed to objects of current importance to the observer. What happens in the brain when these two processes interact?

Bottom-up object segmentation for visual recognition

Automatic recognition and segmentation of objects in images is a central open problem in computer vision. Most previous approaches have pursued either sliding-window object detection or dense classification of overlapping local image patches. Differently, the framework introduced in this thesis attempts to identify the spatial extent of objects prior to recognition, using bottom-up computationa...

Integrating Bottom-Up and Top-Down Analysis For Intelligent Hypertext

The range of hypertext systems continues to expand, from custom-tailored closed systems to dynamic, distributed, and open systems like the World-Wide Web (WWW). The shift from closed to open systems results in a corresponding decrease in the effectiveness of metrics and techniques for providing intelligent hypertext to users. Essentially, the locus of control shifts away from developers towards...

Visual search: bottom-up or top-down?

The aim of the experiments in this paper was to explore the relationship between top-down and bottom-up processes in visual search. Employing behavioral techniques, we first consider the possible role of the magnocellular visual pathway in visual search, and find that visual search does not necessarily depend on processing by this visual sub-system. We next use functional imaging (positron emis...

Bottom-up, top-down