A Survey of Visual Attention Models
نویسندگان
چکیده
منابع مشابه
From the human visual system to the computational models of visual attention: a survey
With the emerging interest in active vision, computer vision researchers have been increasingly concerned with the mechanisms of attention. Therefore, a number of visual attention computational models, inspired by the Human Visual System (HVS), have been developed. These models aim to detect regions of interest in images. In recent decades, psychologists, neurobiologists and engineers have inve...
متن کاملComputational models of visual attention
http://dx.doi.org/10.1016/j.visres.2015.09.007 0042-6989/ 2015 Elsevier Ltd. All rights reserved. Visual attention has been the topic of intensive research in the last three decades. Computational approaches to study vision and cognition aim at precisely specifying theories and mechanisms, generating testable quantitative predictions and bridging behavioral and physiological approaches. In the ...
متن کاملRecurrent Models of Visual Attention
Applying convolutional neural networks to large images is computationally expensive because the amount of computation scales linearly with the number of image pixels. 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 or locations and only processing the selected regions at high resolut...
متن کاملComputational Models of Human Visual Attention and Their Implementations: A Survey
We humans are easily able to instantaneously detect the regions in a visual scene that are most likely to contain something of interest. Exploiting this pre-selection mechanism called visual attention for image and video processing systems would make them more sophisticated and therefore more useful. This paper briefly describes various computational models of human visual attention and their d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ciência e Natura
سال: 2015
ISSN: 2179-460X,0100-8307
DOI: 10.5902/2179460x20786