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Related Experiment Videos

HEVC-Based Perceptually Adaptive Video Coding Using a DCT-Based Local Distortion Detection Probability Model.

Sung-Ho Bae, Jaeil Kim, Munchurl Kim

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |May 18, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new Local Distortion Detection Probability (LDDP) model for perceptual video coding. The LDDP model improves bitrate reduction in High Efficiency Video Coding (HEVC) while maintaining visual quality.

    Related Experiment Videos

    Area of Science:

    • Digital Video Coding
    • Image and Video Processing
    • Human Perception in Video Compression

    Background:

    • Perceptual video coding (PVC) utilizes Discrete Cosine Transform (DCT)-based just noticeable difference (JND) profiles to reduce redundancy.
    • Existing JND models face limitations with variable-sized transform units in High Efficiency Video Coding (HEVC) and insufficient suppression of mid- to high-frequency coefficients.
    • These limitations hinder optimal perceptual redundancy removal in modern video compression standards.

    Purpose of the Study:

    • To propose a generalized visibility model in the DCT domain for estimating distortion visibility across various transform unit sizes and coefficient distributions.
    • To develop an HEVC-compliant perceptual video coding scheme based on the proposed model for enhanced coefficient suppression.
    • To evaluate the effectiveness of the proposed LDDP-based PVC scheme in terms of bitrate reduction and visual quality.

    Main Methods:

    • Development of the DCT-based Local Distortion Detection Probability (LDDP) model, a generalized visibility model for DCT coefficients.
    • Implementation of an HEVC-compliant PVC scheme integrating the LDDP model into the HEVC Test Model (HM 11.0) reference software.
    • Conducting objective and subjective tests on encoded sequences to assess performance.

    Main Results:

    • The proposed LDDP-based PVC scheme demonstrates significant performance improvements.
    • The scheme achieves considerable bitrate reduction while maintaining comparable visual quality levels to the original HEVC standard.
    • Experimental results validate the effectiveness of the LDDP model in addressing limitations of traditional JND-based approaches.

    Conclusions:

    • The LDDP model provides a more generalized approach to visibility estimation in DCT domain for perceptual video coding.
    • The proposed LDDP-based PVC scheme effectively suppresses transform coefficients, leading to improved compression efficiency in HEVC.
    • This approach offers a promising solution for enhancing perceptual video coding performance in next-generation video compression.