May 1, 2007 · The solution proposed to the selective visual attention problem consists in decomposing the input images of an indefinite sequence of images ...
The aim is to obtain the objects that keep the observer's attention in accordance with a set of predefined features, including color, motion and shape. The ...
This paper presents a study of a mechanism of attention that has variable selection criteria based in highlighting some feature or object in the image while ...
Our approach defines a model for the generation of an active attention focus on a dynamic scene captured from a still or moving camera. The aim is to obtain the ...
Abstract. This paper describes a method for visual surveillance based on biologically motivated dynamic visual attention in video image sequences.
This paper reports a computational model of dynamic visual attention which combines static and dynamic features to detect salient locations in natural image ...
In this paper, we propose a novel solution to generic image adaptation that dynamically modifies the image contents to optimally match the various screen sizes ...
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We present a novel recurrent neural network model that is capable of extracting information from an image or video by adaptively selecting a sequence of regions ...
We propose a dynamic computational time model to ac- celerate the average processing time for recurrent visual attention (RAM). Rather than attention with a ...
Jul 16, 2024 · Conclusion. Attention mechanisms have transformed computer vision, enabling models to focus on the most relevant parts of an image dynamically.