2D Video Coding of Volumetric Video Data

Sebastian Schwarz, Miska M. Hannuksela, Vida Fakour-Sevom, Nahid Sheikhi-Pour

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

    11 Citations (Scopus)

    Abstract

    Due to the increased popularity of augmented and virtual reality experiences, the interest in representing the real world in an immersive fashion has never been higher. Distributing such representations enables users all over the world to freely navigate in never seen before media experiences. Unfortunately, such representations require a large amount of data, not feasible for transmission on today's networks. Thus, efficient compression technologies are in high demand. This paper proposes an approach to compress 3D video data utilizing 2D video coding technology. The proposed solution was developed to address the needs of 'tele-immersive' applications, such as virtual (VR), augmented (AR) or mixed (MR) reality with Six Degrees of Freedom (6DoF) capabilities. Volumetric video data is projected on 2D image planes and compressed using standard 2D video coding solutions. A key benefit of this approach is its compatibility with readily available 2D video coding infrastructure. Furthermore, objective and subjective evaluation shows significant improvement in coding efficiency over reference technology.

    Original languageEnglish
    Title of host publication2018 Picture Coding Symposium, PCS 2018 - Proceedings
    PublisherIEEE
    Pages61-65
    Number of pages5
    ISBN (Print)9781538641606
    DOIs
    Publication statusPublished - 5 Sept 2018
    Publication typeA4 Article in conference proceedings
    EventPicture Coding Symposium - San Francisco, United States
    Duration: 24 Jun 201827 Jun 2018

    Conference

    ConferencePicture Coding Symposium
    Country/TerritoryUnited States
    CitySan Francisco
    Period24/06/1827/06/18

    Publication forum classification

    • Publication forum level 0

    ASJC Scopus subject areas

    • Signal Processing
    • Media Technology

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