[visionlist] Postdoctoral position available (Technicolor Research & Innovation)

[Huynh-Thu Quan]

A post-doctoral position (18 months) is available within the Video
Processing and Perception Lab at Technicolor Research & Innovation
(Rennes, France).

 

Technicolor (http://www.technicolor.com) provides technology, systems
and services to its Media & Entertainment clients involved in the
different components of the video chain (content creation, production,
distribution and access). The Technicolor Research centers have
developed strong expertise in image and video processing and
continuously invest in this field. A main goal of our research is to
anticipate incoming technological evolutions, outperforming current
limits. With this goal in mind, Technicolor is investigating in the
Human Perception and Video Processing areas. The ambition is to
understand how users perceive video (2D and 3D), derive innovative
computational models from this understanding and propose new
applications/services. Target applications include cinema, television,
games, web, video communication...

 

Technicolor Research & innovation in Rennes, France, offers a Post-Doc
position in the area of Human Perception and Video Processing. The
position is located in the Video Processing & Perception Lab and in the
project entitled "Human perception". The core technology consists in
simulating the human visual attention, by detecting the regions of
interest (RoI) in images/videos. A biologically plausible architecture
based on signal processing tools has been implemented and is currently
restricted to bottom-up aspects of perception. The long-term ambition is
to extend the existing model towards top-down or more cognitive concepts
of attention with some tools, such as object modeling, specific
detectors (face, text...) or even scene categorization...   

 

The context of this Post-doc is a multi-modal visual attention model.
More specifically, the main objective of this research work is the use
of audio saliency and/or audio cues in order to extend and improve the
existing Technicolor visual attention model [1,2].

 

Goals/tasks of this research work include (other tasks to be discussed):

- A complete state-of-the-art in the field. 

- A concrete implementation of a solution within the existing model (C
programming): development of the detection of audio cues as well as
their fusion with other independent visual cues.  

- The definition/set-up of a complete test environment in order to
conduct experiments of visual attention with human participants. It is
foreseen that experiments will use an eye-tracking apparatus in
scenarios where visual stimuli are presented together with audio
stimuli.

 

The successful candidate must have a PhD (or soon), and specific
knowledge in Computer Science, Audio Processing and/or Image Processing.
Ideally, additional knowledge in Human Perception and a background in
subjective experiments setup/protocol would be valuable. Since software
development is expected in this research work, good programming skills
(C/C++ on Windows/Linux) are required.

 

Applicants should submit a curriculum vitae, recent list of
publications, a statement of research interests and examples of research
work achievements.

Resumes may be submitted electronically in either Word (.doc), Rich Text
(.rtf) or Portable Document Format (PDF), and should be sent to 
Philippe.guillotel at technicolor.com  

 

[1] O. Le Meur, P. Le Callet, D. Barba, and D. Thoreau, "A coherent
computational approach to model the bottom-up visual attention," IEEE
Trans. on Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp.
802-817, 2006.

[2] Le Meur, O., Le Callet, P., Barba, D. Predicting visual fixations on
video based on low-level visual features, Vision Research, vol. 47, no.
19, pp. 2483-2498, 2007.

 

 

 

Dr. Quan HUYNH-THU
Senior Scientist, Video Processing & Perception Group

Technicolor Research & Innovation

 

email: quan.huynh-thu at technicolor.com

tel: +33 (0)2 99 27 90 45

fax: +33 (0)2 99 27 30 15
 

 

Help preserve the color of our world - Think before you print.

 

 

 

 

 

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