3D objective quality assessment of light field video frames

Roopak R. Tamboli, Peter A. Kara, Aron Cserkaszky, Attila Barsi, Maria G. Martini, Balasubramanyam Appina, Sumohana S. Channappayya, Soumya Jana

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    With the rapid advances in light field displays and cameras, research in light field content creation, visualization, coding and quality assessment is now beyond a state of emergence; it has already emerged and started attracting a significant part of the scientific community. The capability of light field displays to offer glasses-free 3D experience simultaneously for multiple users has opened new avenues in subjective and objective quality assessment of light field image content, and video is also becoming research target of such quality evaluation methods. Yet it needs to be stated that while static light field contents have evidently received relatively more attention, the research on light field video content still remains largely unexplored. In this paper, we present results of the objective quality assessment of key frames extracted from light field video content. To this end, we use our own full-reference 3D objective quality metric.
    Original languageEnglish
    DOIs
    Publication statusPublished - Jun 2018
    Event2018 - 3DTV-Conference : The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) - Stockholm, Sweden
    Duration: 3 Jun 20185 Jun 2018

    Conference

    Conference2018 - 3DTV-Conference : The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
    Period3/06/185/06/18

    Bibliographical note

    Note: Published in: 2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) (IEEE Catalog Number: CFP1855B-ART) ISSN 2161-203X ISBN 9781538661253.

    The work in this paper was funded from the European Union‘s Horizon
    2020 research and innovation program under the Marie Sklodowska-Curie grant agreements No 643072, Network QoE-Net and No 676401, European Training Network on Full Parallax Imaging.

    Organising Body: Institute of Electrical and Electronics Engineers

    Keywords

    • Computer science and informatics

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    • 3D objective quality assessment of light field video frames

      Tamboli, R. R., Kara, P. A., Cserkaszky, A., Barsi, A., Martini, M. G., Appina, B., Channappayya, S. S. & Jana, S., Jun 2018, Published in: 2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) (IEEE Catalog Number: CFP1855B-ART) ISSN 2161-203X ISBN 9781538661253. The work in this paper was funded from the European Union‘s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreements No 643072, Network QoE-Net and No 676401, European Training Network on Full Parallax Imaging. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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