Publications related to Salience (neuroscience)

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Perceptual Learning, Roving, and Synaptic Drift

Michael Herzog, Aaron Michael Clarke

Perceptual learning improves with most basic stimuli. Interestingly, performance does not improve when stimuli of two types are randomly presented during training (roving). For example, there is no perceptual learning when left or right bisection stimuli w ...

2012

Perceptual Video Compression: A Survey

Touradj Ebrahimi, Jong Seok Lee

With the advances in understanding perceptual properties of the human visual system and constructing their computational models, efforts toward incorporating human perceptual mechanisms in video compression to achieve maximal perceptual quality have receiv ...

Ieee-Inst Electrical Electronics Engineers Inc2012

The visual saliency map is non-retinotopic

Michael Herzog, Marco Boi, Marcus Leonardus Vergeer

Most visual search models rely on a retinotopic saliency map. Here, we provide evidence that visual saliency is computed non-retinotopically. Recently, it was shown that attention can operate in a non-retinotopic reference frame by inserting a search displ ...

Pion2011

Perceptual Learning, Roving and the Unsupervised Bias

Michael Herzog, Wulfram Gerstner, Aaron Michael Clarke

Perceptual learning is reward-based. A recent mathematical analysis showed that any reward-based learning system can learn two tasks only when the mean reward is identical for both tasks [Frémaux, Sprekeler and Gerstner, 2010, The Journal of Neuroscience, ...

2011

Dynamic Visual Attention on the Sphere

Pierre-André Farine, Heinz Hügli, Iva Bogdanova Vandergheynst, Alexandre Bur

In this paper we present a computational model of dynamic visual attention on the sphere which combines static (intensity,chromaticity, orientation) and motion features in order to detect salient locations in omnidirectional image sequences while working d ...

Elsevier2010

Towards a Technology of Nonverbal Communication

Gelareh Mohammadi, Alessandro Vinciarelli

Nonverbal communication is the main channel through which we experience inner life of others, including their emotions, feelings, moods, social attitudes, etc. This attracts the interest of the computing community because nonverbal communication is based o ...

IGI-Global2010

Frequency-tuned Salient Region Detection

Sabine Süsstrunk, Radhakrishna Achanta, Francisco Estrada

Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. In this paper, we introduce a method for salient region detection that outputs full resolution saliency maps with ...

2009

Image Summaries using Database Saliency

Pascal Fua, Sabine Süsstrunk, Radhakrishna Achanta, Appu Shaji

It is useful to have a small set of representative images from a database of thousands of images to summarize its content. There are two key aspects of such image summaries: how to generate them and how to present them. We address both issues. We extend th ...

2009

Salience (neuroscience)

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Perceptual Learning, Roving, and Synaptic Drift

Perceptual Video Compression: A Survey

A decision theoretic approach to motion saliency in computer animations

Act Quickly, Decide Later: Long-latency Visual Processing Underlies Perceptual Decisions but Not Reflexive Behavior

The visual saliency map is non-retinotopic

Perceptual Learning, Roving and the Unsupervised Bias

Dynamic Visual Attention on the Sphere

Towards a Technology of Nonverbal Communication

Frequency-tuned Salient Region Detection

Image Summaries using Database Saliency

Act Quickly, Decide Later: Long-latency Visual Processing Underlies Perceptual Decisions but Not Reflexive Behavior

A decision theoretic approach to motion saliency in computer animations

Perceptual Learning, Roving, and Synaptic Drift

The visual saliency map is non-retinotopic

Perceptual Learning, Roving and the Unsupervised Bias

Perceptual Video Compression: A Survey

Dynamic Visual Attention on the Sphere

Towards a Technology of Nonverbal Communication

Image Summaries using Database Saliency

Frequency-tuned Salient Region Detection