This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the saliency of image regions and to provide an efficient short cut for object detection and recognition. The scene is represented by means of a low-dimensional global description obtained from low-level features. The global scene features are then used to predict the probability of presence of the target object in the scene, and its location and scale, before exploring the image. Scene information can then be used to modulate the saliency of image regions early during the visual processing in order to provide an efficient short...
Some of the stimulus features that guide visual attention are abstract properties of objects such as...
The thesis explores how non-target objects influence object recognition. In all five experiments, s...
Summarization: The prediction of visual attention can significantly improve many aspects of computer...
This article describes a model for including scene/context priors in attention guidance. In the prop...
Many experiments have shown that the human visual system makes extensive use of contextual informati...
In recent years, many principled probabilistic definitions for the de-termination of visual saliency...
Behavioral experiments have shown that the human visual system makes extensive use of contextual inf...
Current computational models of visual attention focus on bottom-up information and ignore scene con...
Current computational models of visual attention focus on bottom-up information and ignore scene con...
International audienceA computational model of visual attention using visual inferences is proposed....
There is general consensus that context can be a rich source of information about an object's identi...
Although the facilitation of visual search by contextual information is well established, there is l...
It is well known that natural visual systems rely on attentional mechanisms that select and process ...
Abstract. Context plays an important role in general scene percep-tion. In particular, it can provid...
This paper describes a sequence of experiments addressing basic questions about the control of visua...
Some of the stimulus features that guide visual attention are abstract properties of objects such as...
The thesis explores how non-target objects influence object recognition. In all five experiments, s...
Summarization: The prediction of visual attention can significantly improve many aspects of computer...
This article describes a model for including scene/context priors in attention guidance. In the prop...
Many experiments have shown that the human visual system makes extensive use of contextual informati...
In recent years, many principled probabilistic definitions for the de-termination of visual saliency...
Behavioral experiments have shown that the human visual system makes extensive use of contextual inf...
Current computational models of visual attention focus on bottom-up information and ignore scene con...
Current computational models of visual attention focus on bottom-up information and ignore scene con...
International audienceA computational model of visual attention using visual inferences is proposed....
There is general consensus that context can be a rich source of information about an object's identi...
Although the facilitation of visual search by contextual information is well established, there is l...
It is well known that natural visual systems rely on attentional mechanisms that select and process ...
Abstract. Context plays an important role in general scene percep-tion. In particular, it can provid...
This paper describes a sequence of experiments addressing basic questions about the control of visua...
Some of the stimulus features that guide visual attention are abstract properties of objects such as...
The thesis explores how non-target objects influence object recognition. In all five experiments, s...
Summarization: The prediction of visual attention can significantly improve many aspects of computer...