[visionlist] Research Position in Visual Perception for Enhanced Cinematography

[Marcelo Bertalmío]

http://www.dtic.upf.edu/~mbertalmio/ERC/recruitvision.html
http://ec.europa.eu/euraxess/index.cfm/jobs/jobDetails/33798131

The Information and Communication Technology department at Universitat
Pompeu Fabra in Barcelona, Spain, invites applications for a research
position in visual perception. This position is associated with the
ERC Starting Grant "Image processing for enhanced cinematography”, led
by Marcelo Bertalmío, http://www.dtic.upf.edu/~mbertalmio/, and which
is described below.

Candidates should hold a Ph.D. in vision neuroscience, psychology of vision
or a related discipline, with at least 3 years of post-doctoral experience
and a
solid background in visual perception and perceptual modelling, and be
proficient in spoken and written English.
The position is funded by the European Research Council and the appointment
is for up to 5 years. Salary will be commensurate with experience, in the
bracket
of 40,000 to 55,000EUR/year.
Contact: please send application with CV, publication list, contact
information
of three references, and a summary of research accomplishments to:
marcelo DOT bertalmio AT upf DOT edu
The position will be open until filled.

Universitat Pompeu Fabra (UPF, http://www.upf.edu/en/) is a public
university located in Barcelona. It is the best Spanish university
according to the London Times higher education index, 2011, and it's
the number one Spanish university in number of ERC grants. The
Information and Communication Technology department (ICT,
http://www.upf.edu/dtic/en/) is the best in Computer Science in Spain,
according to the Shanghai index 2009.

Description of the project
The objective of this ERC Starting Grant project is to develop image
processing algorithms for cinema that allow people watching a movie on
a screen to see the same details and colors as people at the shooting
location can. It is due to camera and display limitations that the
shooting location and the images on the screen are perceived very
differently. We want to be able to use common cameras and displays (as
opposed to highly expensive hardware systems) and work solely on
processing the video so that our perception of the scene and of the
images on the screen match, without having to add artifical lights
when shooting (other than for artistic purposes) or to manually
correct the colors to adapt to a particular display device. In terms
of sensing capabilities cameras are in many regards better than human
photoreceptors, but human vision performs better processing, carried
out in the retina and visual cortex. Therefore, rather than working on
the hardware, improving lenses and sensors, we will instead use,
whenever possible, existing knowledge on visual neuroscience and
models on visual perception to develop software methods mimicking
neural processes in the human visual system, and apply these methods
to images captured with a regular camera. We will also use variational
methods coupled with perceptual metrics to optimize the final outputs.
>From a technological standpoint, reaching our goal will be a
remarkable achievement which will impact how movies are made (in less
time, with less equipment, with smaller crews, with more artistic
freedom) but also which movies are made (since good-visual-quality
productions will become more affordable.) We also anticipate a
considerable technological impact in the realm of consumer video. From
a scientific standpoint, this will imply finding solutions for several
challenging open problems in image processing and computer vision, but
it also has a strong potential to bring methodological advances to
other domains like experimental psychology and visual neuroscience.

http://www.dtic.upf.edu/~mbertalmio/ERC/overview.html
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