FDQM: Fast Quality Metric for Depth Maps Without View Synthesis

Won Dong Jang, Tae Young Chung, Jae Young Sim, Chang-Su Kim

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    We propose a fast quality metric for depth maps, called fast depth quality metric (FDQM), which efficiently evaluates the impacts of depth map errors on the qualities of synthesized intermediate views in multiview video plus depth applications. In other words, the proposed FDQM assesses view synthesis distortions in the depth map domain, without performing the actual view synthesis. First, we estimate the distortions at pixel positions, which are specified by reference disparities and distorted disparities, respectively. Then, we integrate those pixel-wise distortions into an FDQM score by employing a spatial pooling scheme, which considers occlusion effects and the characteristics of human visual attention. As a benchmark of depth map quality assessment, we perform a subjective evaluation test for intermediate views, which are synthesized from compressed depth maps at various bitrates. We compare the subjective results with objective metric scores. Experimental results demonstrate that the proposed FDQM yields highly correlated scores to the subjective ones. Moreover, FDQM requires at least 10 times less computations than conventional quality metrics, since it does not perform the actual view synthesis.

    Original languageEnglish
    Article number6963368
    Pages (from-to)1099-1112
    Number of pages14
    JournalIEEE Transactions on Circuits and Systems for Video Technology
    Volume25
    Issue number7
    DOIs
    Publication statusPublished - 2015 Jul 1

    Bibliographical note

    Publisher Copyright:
    © 2014 IEEE.

    Keywords

    • 3-D video
    • depth map quality assessment
    • image quality assessment
    • multiview video plus depth (MVD)
    • spatial pooling
    • virtual view synthesis

    ASJC Scopus subject areas

    • Media Technology
    • Electrical and Electronic Engineering

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