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Optimal Adaptive Quantization Based on Temporal Distortion Propagation Model for HEVC.

Maxime Bichon, Julien Le Tanou, Michael Ropert

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    |June 7, 2019
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    Summary
    This summary is machine-generated.

    This study introduces an adaptive quantization method for video encoding, significantly reducing bitrate by 16.51% (PSNR) and 26.26% (SSIM). The approach optimizes quantizers per block, improving rate-distortion efficiency in High-Efficiency Video Coding (HEVC).

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    Area of Science:

    • Video Compression
    • Digital Signal Processing
    • Information Theory

    Background:

    • Adaptive quantization is crucial for video encoder efficiency.
    • High-Efficiency Video Coding (HEVC) uses predictive coding, creating block dependencies that complicate optimal quantizer selection.
    • Motion compensation in HEVC establishes a network of dependencies across Group of Pictures (GOP).

    Purpose of the Study:

    • To develop an optimal adaptive quantization strategy for video encoders.
    • To address the complexity of optimal block quantizer search in HEVC.
    • To enhance rate-distortion efficiency through block-level quantizer optimization.

    Main Methods:

    • Estimating the temporal distortion propagation model.
    • Accurate estimation of Inter and Skip mode probabilities.
    • Designing optimal quantizers per block for global rate-distortion optimization.
    • Implementing the algorithm within the HEVC reference model (HM).

    Main Results:

    • Achieved average bitrate savings of -16.51% (PSNR-based) and -26.26% (SSIM-based) compared to no adaptive quantization.
    • Demonstrated superior performance against state-of-the-art methods.
    • Provided an in-depth analysis of algorithm behavior, including rate distribution and quantizer dynamic range control.

    Conclusions:

    • The proposed adaptive quantization algorithm significantly improves video encoding efficiency.
    • The method effectively manages block dependencies introduced by predictive coding and motion compensation.
    • The algorithm offers a robust solution for optimizing rate-distortion performance in HEVC.