scholarly journals Exploring Current Viewing Context for TV Contents Recommendation

2016 ◽  
Author(s):  
Mariem Bambia ◽  
Mohand Boughanem ◽  
Rim Faiz
Keyword(s):  
Viewing Context

Effects of the viewing context on target detection. Implications for road lighting design

2010 ◽  
Vol 41 (3) ◽  
pp. 461-468 ◽  
Author(s):  
Anaïs Mayeur ◽  
Roland Brémond ◽  
J.M. Christian Bastien
Keyword(s):  
Target Detection ◽  
Lighting Design ◽  
Road Lighting ◽  
Viewing Context

The Influence of Debate Viewing Context on Political Cynicism and Strategic Interpretations

2011 ◽  
Vol 55 (3) ◽  
pp. 270-283 ◽  
Author(s):  
Natalie Jomini Stroud ◽  
Maegan Stephens ◽  
Danee Pye
Keyword(s):  
Political Cynicism ◽  
Viewing Context

scholarly journals DIVA: natural navigation inside 3D images using virtual reality

2020 ◽  
Author(s):  
Mohamed El Beheiry ◽  
Charlotte Godard ◽  
Clément Caporal ◽  
Valentin Marcon ◽  
Cécilia Ostertag ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Motion Tracking ◽  
Three Dimensional ◽  
Software Tool ◽  
Light Sheet ◽  
Immersive Virtual Environment ◽  
Experimental Image ◽  
Volumetric Objects ◽  
Similar Solutions ◽  
Viewing Context

AbstractAs three-dimensional microscopy becomes commonplace in biological re-search, there is an increasing need for researchers to be able to view experimental image stacks in a natural three-dimensional viewing context. Through stereoscopy and motion tracking, commercial virtual reality headsets provide a solution to this important visualization challenge by allowing researchers to view volumetric objects in an entirely intuitive fashion. With this motivation, we present DIVA, a user-friendly software tool that automatically creates detailed three-dimensional reconstructions of raw experimental image stacks that are integrated in virtual reality. In DIVA’s immersive virtual environment, users can view, manipulate and perform volumetric measurements on their microscopy images as they would to real physical objects. In contrast to similar solutions, our software provides high-quality volume rendering with native TIFF file compatibility. We benchmark the software with diverse image types including those generated by confocal, light-sheet and electron microscopy. DIVA is available at https://diva.pasteur.fr and will be regularly updated.

The Most Social Games

2017 ◽  
Vol 6 (3) ◽  
pp. 308-330 ◽  
Author(s):  
Tang Tang ◽  
Roger Cooper
Keyword(s):  
Social Media ◽  
Personal Identity ◽  
Media Use ◽  
Media Consumption ◽  
Media Content ◽  
Social Games ◽  
Mega Events ◽  
Active Choice ◽  
Viewing Context ◽  
Mega Event

Social media has substantially changed how people consume media content, particularly during sport mega-events. This study examined the audience social media uses during the “most social Olympics” and found that demographics, personality, motivations, preference, media use routine, and viewing context significantly predicted social media consumption for the Rio Games. Olympics viewing on social media was predominately predicted by media use routine, while following and posting on social media about the Olympics appeared to be a more “active” choice that was shaped by personal identity and virtual schemas. In addition, results indicate that social media uses during the Rio Games neither “displaced” nor “encouraged” Olympics viewing on traditional television. Uses of social media suggest a digital expansion of “group” viewing and transform ways in which the audience can experience a sport mega-event.

Authoring diagrams that adapt to their viewing context

2018 ◽  
Vol 46 ◽  
pp. 20-34 ◽  
Author(s):  
Cameron McCormack ◽  
Kim Marriott ◽  
Bernd Meyer
Keyword(s):  
Viewing Context

scholarly journals Speed tuning in head coordinates as an alternative explanation of depth selectivity from motion parallax in area MT

2021 ◽  
Author(s):  
Zhe-Xin Xu ◽  
Gregory C DeAngelis
Keyword(s):  
Coordinate Transformation ◽  
Computational Models ◽  
Motion Parallax ◽  
Object Motion ◽  
Image Motion ◽  
Mt Neurons ◽  
Retinal Motion ◽  
The World ◽  
Viewing Context ◽  
Eye Velocity

There are two distinct sources of retinal image motion: motion of objects in the world and movement of the observer. In cases where an object moves in a scene and the eyes also move, a coordinate transformation that involves smooth eye movements and retinal motion will be needed in order to estimate object motion in world coordinates. More recently, interactions between retinal and eye velocity signals have also been suggested to generate depth selectivity from motion parallax (MP) in the macaque middle temporal (MT) area. We explored whether the nature of the interaction between eye and retinal velocities in MT neurons favors one of these two possibilities or a mixture of both. We analyzed responses of MT neurons to retinal and eye velocities in a viewing context in which the observer translates laterally while maintaining visual fixation on a world-fixed target. In this scenario, the depth of an object can be inferred from the ratio between retinal velocity and eye velocity, according to the motion-pursuit law. Previous studies have shown that MT responses to retinal motion are gain-modulated by the direction of eye movement, suggesting a potential mechanism for depth tuning from MP. However, our analysis of the joint tuning profile for retinal and eye velocities reveals that some MT neurons show a partial coordinate transformation toward head coordinates. We formalized a series of computational models to predict neural spike trains as well as selectivity for depth, and we used factorial model comparisons to quantify the relative importance of each model component. Our findings for many MT neurons reveal that the data are equally well explained by gain modulation or a partial coordinate transformation toward head coordinates, although some responses can only be well fit by the coordinate transform model. Our results highlight the potential role of MT neurons in representing multiple higher-level sensory variables, including depth from MP and object motion in the world.

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