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Graph-based visual saliency
- ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 19
, 2007
"... A new bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), is proposed. It consists of two steps: rst forming activation maps on certain feature channels, and then normalizing them in a way which highlights conspicuity and admits combination with other maps. The model is simple, and ..."
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Cited by 277 (6 self)
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A new bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), is proposed. It consists of two steps: rst forming activation maps on certain feature channels, and then normalizing them in a way which highlights conspicuity and admits combination with other maps. The model is simple
Visual Salience in Interface Design
"... For my summer project as part of the Computing Research Association’s Distributed Mentor Program, I worked to see if visual salience significantly affected exploratory behavior in a user interface. I analyzed data collected from the InfoSearch task to see if in that task visual salience had any effe ..."
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For my summer project as part of the Computing Research Association’s Distributed Mentor Program, I worked to see if visual salience significantly affected exploratory behavior in a user interface. I analyzed data collected from the InfoSearch task to see if in that task visual salience had any
Visual salience and the other one
- Salience. Multidisciplinary Perspectives on Its Function in Discourse. Mouton de Gruyer
, 2011
"... This paper describes a salience based approach to visually situated reference resolution. The framework uses the relationship between referential form and preferred mode of interpretation as a basis for a weighted integration of lin-guistic and visual salience scores for each entity in the multimoda ..."
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Cited by 1 (0 self)
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This paper describes a salience based approach to visually situated reference resolution. The framework uses the relationship between referential form and preferred mode of interpretation as a basis for a weighted integration of lin-guistic and visual salience scores for each entity
Visual saliency by selective contrast
- IEEE Transactions on Circuits and Systems for Video Technology
, 2013
"... Abstract—Automatic detection of salient objects in visual media (e.g., videos and images) has been attracting much atten-tion. The detected salient objects can be utilized for segmentation, recognition, and retrieval. However, the accuracy of saliency detection remains a challenge. The reason behind ..."
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Cited by 10 (5 self)
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Abstract—Automatic detection of salient objects in visual media (e.g., videos and images) has been attracting much atten-tion. The detected salient objects can be utilized for segmentation, recognition, and retrieval. However, the accuracy of saliency detection remains a challenge. The reason
Visual Saliency Model for Robot Cameras
"... Abstract — Recent years have seen an explosion of research on the computational modeling of human visual attention in task free conditions, i.e., given an image predict where humans are likely to look. This area of research could potentially provide general purpose mechanisms for robots to orient th ..."
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Cited by 24 (4 self)
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their cameras in open ended conditions. One difficulty is that most current models of visual saliency are computationally very expensive and not suited to real time implementations needed for robotic applications. Here we propose a very fast approximation to a Bayesian model of visual saliency recently proposed
Adaptation and visual salience
- Journal of Vision
, 2010
"... We examined how the salience of color is affected by adaptation to different color distributions. Observers searched for a color target on a dense background of distractors varying along different directions in color space. Prior adaptation to the backgrounds enhanced search on the same background w ..."
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Cited by 9 (4 self)
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. Our results are consistent with the hypothesis that adaptation may play an important functional role in highlighting the salience of novel stimuli by discounting ambient properties of the visual environment.
Learning Visual Saliency
"... Abstract—Inspired by the primate visual system, computa-tional saliency models decompose the visual input into a set of feature maps across spatial scales. In the standard approach, the feature maps of the pre-specified channels are summed to yield the final saliency map. We study the feature integr ..."
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Cited by 5 (3 self)
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Abstract—Inspired by the primate visual system, computa-tional saliency models decompose the visual input into a set of feature maps across spatial scales. In the standard approach, the feature maps of the pre-specified channels are summed to yield the final saliency map. We study the feature
Results 1 - 10
of
16,482
