Université de Neuchâtel

Adaptive visual attention model

Hügli, Heinz ; Bur, Alexandre

In: Proceedings. Conference Image and Vision Computing New Zealand, 2007, p. 1-5

Visual attention, defined as the ability of a biological or artificial vision system to rapidly detect potentially relevant parts of a visual scene, provides a general purpose solution for low level feature detection in a vision architecture. Well considered for its universal detection behaviour, the general model of visual attention is suited for any environment but inferior to dedicated feature...

Université de Neuchâtel

Visual Attention Guided Seed Selection for Color Image Segmentation

Ouerhani, Nabil ; Archip, Neculai ; Hügli, Heinz ; Erard, Pierre-Jean

In: Conference Computer Analysis of Images and Patterns, 2001, vol. 2124, p. 630-637

The ”seeded region growing” (SRG) is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Given a set of seeds, SRG then grows the regions around each seed, based on the conventional region growing postulate of similarity of pixels within regions. The choice of the seeds is considered as one of the key steps on which the...

Université de Neuchâtel

Assessing the contribution of color in visual attention

Jost, Timothée ; Ouerhani, Nabil ; von Wartburg, Roman ; Müri, René ; Hügli, Heinz

In: Computer Vision and Image Understanding, 2005, vol. 100, no. 1-2, p. 107-123

Visual attention is the ability of a vision system, be it biological or artificial, to rapidly detect potentially relevant parts of a visual scene, on which higher level vision tasks, such as object recognition, can focus. The saliency-based model of visual attention represents one of the main attempts to simulate this visual mechanism on computers. Though biologically inspired, this model has...