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Related Experiment Video

Updated: Mar 22, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

854

Adaptive Quantization Parameter Cascading in HEVC Hierarchical Coding.

Tiesong Zhao, Zhou Wang, Chang Wen Chen

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 27, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an adaptive quantization parameter cascading (QPC) scheme for High Efficiency Video Coding (HEVC) to enhance video compression. The new method significantly improves rate-distortion performance across diverse video content and configurations.

    Related Experiment Videos

    Last Updated: Mar 22, 2026

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    854

    Area of Science:

    • Video Compression Technology
    • Digital Signal Processing
    • Computer Vision

    Background:

    • The High Efficiency Video Coding (HEVC) standard utilizes hierarchical coding for efficiency.
    • Quantization Parameter Cascading (QPC) enhances HEVC's rate-distortion (RD) performance.
    • Existing static QPC schemes in HEVC do not fully exploit QPC's potential.

    Purpose of the Study:

    • To propose an adaptive QPC scheme for HEVC hierarchical structures.
    • To optimize QPC for natural video sequences with varied characteristics.
    • To address the generic QP assignment problem in video coding.

    Main Methods:

    • Formulating the adaptive QPC scheme as a non-linear programming problem.
    • Solving the problem with a scientifically sound approach and low computational overhead.
    • Applying the generic model to group-of-picture, frame, and coding unit levels.

    Main Results:

    • The adaptive QPC scheme quickly adapts to diverse video content and encoder configurations.
    • Noticeable RD performance enhancement achieved over static QPC and HEVC default rate control.
    • Valuable observations on adaptive QPC set distributions provide insights for future improvements.

    Conclusions:

    • The proposed adaptive QPC scheme offers significant RD performance gains in HEVC.
    • The method is applicable across various video coding levels (GOP, frame, CU).
    • Findings offer insights for enhancing future static QPC schemes.