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Matei Mancas
About Matei Mancas
Matei Mancas obtained an Audiovisual Systems and Networks engineering degree (Ir.) from ESIGETEL Engineering School, France, and a MSc. degree in Information Processing from the University of Paris XI (Orsay). He holds a PhD in applied sciences from the Engineering Faculty of Mons (FPMs), Belgium since 2007. He made several research visits abroad as in La Sapienza University in Rome, Italy and IRISA-INRIA in Rennes, France. He is now a senior researcher and project leader at the Numediart Institute for Creative Technologies of the University of Mons, where he acquired several years of experience with various projects involving together engineers, artists and people from creative industries. Matei is a member of the steering committee, TPC and PC member of several conferences and actions. He also was the main chair of the Intetain 2013 conference held in Mons, Belgium.Matei’s research is about Smart Rooms and more precisely the analysis and modelling of human attention with applications to creative industries like TV, web and advertising.
Computational Attention, Insights

Applications of Saliency Models – Part Three

Matei Mancas/June 2, 2016June 10, 2016 /Leave a comment
smap

The third category of attention-based applications concerns abnormality processing. Some applications go further than the use of the simple detection of the areas of interest. They use comparisons between the areas on the saliency maps…

Computational Attention, Insights

Applications of Saliency Models – Part Two

Matei Mancas/May 19, 2016May 27, 2016 /Leave a comment
heatmap

In this section we focus on a second category of applications based on the locations having the lowest saliency scores. Those areas correspond with repeating and less informative regions, which might be easily compressed…

Computational Attention, Insights

Applications of Saliency Models – Part One

Matei Mancas/February 9, 2016February 9, 2016 /Leave a comment

Attention modeling: a huge range of applications. The applications of saliency maps are numerous and they can occur in many domains. For some applications, the saliency maps and their analyses are the final goal, while for others saliency maps are…

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Computational Attention, Insights

Attention in computer science – Part 2

Matei Mancas/November 26, 2015 /Leave a comment
attention

In the previous part we mainly dealt with visibility models and static saliency models of attention. But the notion of computational attention could not remain only focused on static images and it developed in other modalities. Video saliency Some still…

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Computational Attention, Insights

Attention in computer science – Part 1

Matei Mancas/October 6, 2015October 6, 2015 /Leave a comment
computational attention

Numediart Institute, Faculty of Engineering (FPMs), University of Mons (UMONS) Matei Mancas, 31 Bd. Dolez, 7000 Mons, Belgium Idea and approaches. As we already saw, attention is a topic which was taken into account by philosophy first, it was than…

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Computational Attention, Insights

How to measure attention?

Matei Mancas/August 6, 2015August 6, 2015 /1 Comment
person-141364_1920

There are a lot of ways to measure attention. Some, mainly in psychology, are more qualitative and use questionnaires and their interpretation. Some are quantitative but they focus on the participants feedback (button press, click, etc…) when they see/hear/sense a…

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Computational Attention, Insights

What is attention? – Part 2: From neuroscience to computer science

Matei Mancas/May 19, 2015May 20, 2015 /Leave a comment
What is attention II

Attention: the technology comes in After the 1980th “crisis” in attention research, two different communities appeared in the study of attention with the arrival of tools providing new insights on brain behavior and with the increasing power of computers. One…

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Computational Attention, Insights

What is attention? – Part 1: From philosophy to psychology

Matei Mancas/April 9, 2015April 9, 2015 /Leave a comment
mancas22

A short history of attention: Human attention is an obvious phenomenon which is active during every single moment of awareness. It was studied first in philosophy, followed by experimental psychology, cognitive psychology, cognitive neuroscience and finally computer science for modeling….

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Computational Attention, Insights

Why computers should be attentive?

Matei Mancas/February 26, 2015February 27, 2015 /6 Comments
computational22

Any animal [1] from the tiniest insect [2] to humans is perfectly able to “pay attention”. Attention is the first step of perception: it analyses the outer real world and turns it into an inner conscious representation. Even during some…

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