30/04/2018
Marie Skłodowska-Curie Actions

Early Stage Reseacher - PhD track position: QoE evaluation and prediction in light-field and volumetric imaging


  • ORGANISATION/COMPANY
    Université de Nantes
  • RESEARCH FIELD
    Computer science3 D modelling
    Computer scienceModelling tools
    Psychological sciencesCognitive science
    TechnologyStandardisation of technologies
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    30/09/2018 23:00 - Europe/Brussels
  • LOCATION
    France › Nantes
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    37,5
  • OFFER STARTING DATE
    01/12/2018
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • MARIE CURIE GRANT AGREEMENT NUMBER
    765911

QoE evaluation and prediction in light-field and volumetric imaging

 

Topic

True hyper-realistic imaging is intended to provide the quality and accuracy of visual content that matches the capabilities of human visual system. To achieve this goal, visual content needs to be represented in multi-dimensional space, going beyond the traditional 2D + colour + time representation. Such new visual dimensions required for hyper realism include light field for motion parallax (free-view-point), binocular stereo, and focus cues; spatial and temporal resolution for sampling close to the limits of the eye; and colour and high dynamic range for accurate reproduction of all colours and light levels experienced in the real-world. All these perceptual aspects need to be considered at all technological stages of the hyper-realistic image delivery chain, from capture to the perception and quality evaluation. In this context, the goal of this PhD thesis is to develop new cognitive model, tools and measures to assess quality of experience (QoE) in light-field and volumetric imaging.

It includes the design of ad hoc experimental methodologies (direct and indirect approach) to characterize observer's experience and related analysis tools.

 

Background

The PhD fellowship is funded by the European Training Network Realvision, a Marie Sklodowska Curie action of the European Commision which aims at training a new generation of scientists, technologists, and entrepreneurs that will move Europe into a leading role in innovative hyper-realistic imaging technologies.

 

Selection process

Candidate apply electronically and should provide:

 

  • a cover letter, where the applicant present her / his profile and provides a motivation for application

  • a detailed Curricula Vitae (CV),

  • Master’s degree transcripts that are validated

  • any additional documents that proof the eligibility for the corresponding doctorate degree program and proof of sufficient English language skills

  • letters of recommendation

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Other: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

Skills

 

You are passionate about new imaging technologies. You have interest in human perception and experimental science. You have a master degree in signal/image Processing or computer science or cognitive sciences. If you are an enthusiastic and talented student or young professional thinking of doing a doctorare, you could be a good candidate.

Specific Requirements

 

Researchers can be of any nationality. They are required to undertake transnational mobility (i.e. move from one country to another) when taking up their appointment. Nationality is therefore not a criterion. Rather the location of the researcher's residence or main activity during the 3 years prior to their recruitment is the determining factor.

 

 

 

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
Université de Nantes/Polytech Nantes
France
Nantes

EURAXESS offer ID: 302497