State-of-the-art in visual attention modeling
Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …
very active research area over the past 25 years. Many different models of attention are now …
Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study
Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …
the most relevant regions from a scene. Relevance is determined by two components: 1) top …
Leveraging stereopsis for saliency analysis
Y Niu, Y Geng, X Li, F Liu - 2012 IEEE Conference on …, 2012 - ieeexplore.ieee.org
Stereopsis provides an additional depth cue and plays an important role in the human vision
system. This paper explores stereopsis for saliency analysis and presents two approaches …
system. This paper explores stereopsis for saliency analysis and presents two approaches …
Discriminative spatial saliency for image classification
In many visual classification tasks the spatial distribution of discriminative information is (i)
non uniform eg personreading'can be distinguished fromtaking a photo'based on the area …
non uniform eg personreading'can be distinguished fromtaking a photo'based on the area …
A saliency detection model using low-level features based on wavelet transform
Researchers have been taking advantage of visual attention in various image processing
applications such as image retargeting, video coding, etc. Recently, many saliency detection …
applications such as image retargeting, video coding, etc. Recently, many saliency detection …
Visual saliency by selective contrast
Automatic detection of salient objects in visual media (eg, videos and images) has been
attracting much attention. The detected salient objects can be utilized for segmentation …
attracting much attention. The detected salient objects can be utilized for segmentation …
What are we looking for: Towards statistical modeling of saccadic eye movements and visual saliency
In this paper, we present a unified statistical framework for modeling both saccadic eye
movements and visual saliency. By analyzing the statistical properties of human eye …
movements and visual saliency. By analyzing the statistical properties of human eye …
Global salient information maximization for saliency detection
In this paper, a new method for saliency detection is proposed. Based on the defined
features of the salient object, we solve the problem of saliency detection from three aspects …
features of the salient object, we solve the problem of saliency detection from three aspects …
Computing object-based saliency in urban scenes using laser sensing
It becomes a well-known technology that a low-level map of complex environment
containing 3D laser points can be generated using a robot with laser scanners. Given a …
containing 3D laser points can be generated using a robot with laser scanners. Given a …
Saliency detection via statistical non-redundancy
A novel algorithm based on statistical non-redundancy is proposed for saliency detection in
natural images. By modeling site neighbourhoods as realizations of other site …
natural images. By modeling site neighbourhoods as realizations of other site …