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Energy-Adaptive Bitstream-Layer Model for Perceptual Quality Assessment of V-PCC Encoded 3D Point Clouds.

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    We developed a novel no-reference bitstream-layer model for point cloud (PC) quality assessment. This energy-adaptive bitstream-layer (EABL) model efficiently predicts quality during decoding without full decompression.

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    Area of Science:

    • Computer Vision
    • Signal Processing
    • Multimedia Systems

    Background:

    • Point cloud (PC) applications are rapidly expanding, necessitating efficient quality assessment methods.
    • Current quality assessment models often require full decoding, which is computationally intensive.
    • Bitstream-layer analysis offers a potential avenue for faster quality evaluation.

    Purpose of the Study:

    • To propose a no-reference bitstream-layer quality assessment model for point clouds.
    • To enable quality evaluation during the V-PCC decoding process without full decompression.
    • To establish a computationally efficient alternative to existing full-reference and reduced-reference methods.

    Main Methods:

    • Illustrating the relationship between content diversity (CD) and perceptual coding distortion in lossless geometric coding.
    • Modeling attribute distortion by predicting CD using transform energy (TE) and texture quantization parameter (TQP).
    • Combining geometric distortion and attribute distortion models with relevant quantization parameters (GQP, TQP) for comprehensive prediction.

    Main Results:

    • The proposed energy-adaptive bitstream-layer (EABL) model demonstrates competitive quality prediction performance.
    • EABL achieves comparable results to existing full-reference, reduced-reference, and no-reference models.
    • The EABL model offers a significant speed advantage over traditional methods.

    Conclusions:

    • The EABL model provides an efficient and effective solution for no-reference point cloud quality assessment.
    • Bitstream-layer analysis is a viable approach for real-time quality evaluation in V-PCC.
    • The proposed method facilitates faster and more accessible quality assessment for expanding PC applications.