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Related Concept Videos

Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
Downstream Processing01:29

Downstream Processing

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End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

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Downsampling01:20

Downsampling

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Rapidly Varying Flow01:24

Rapidly Varying Flow

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Related Experiment Videos

Fast bi-directional prediction selection in H.264/MPEG-4 AVC temporal scalable video coding.

Hung-Chih Lin1, Hsueh-Ming Hang, Wen-Hsiao Peng

  • 1MediaTek, Inc., Hsinchu 300, Taiwan. huchlin@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 25, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a fast algorithm for H.264/MPEG-4 temporal scalable video coding (SVC) that significantly reduces encoding time by optimizing temporal prediction. The method cuts computation for bi-directional prediction, saving 48-67% encoding time with minimal performance loss.

Related Experiment Videos

Area of Science:

  • Video Coding
  • Digital Signal Processing
  • Computer Vision

Background:

  • Scalable video coding (SVC) enables efficient video transmission across diverse network conditions.
  • H.264/MPEG-4 SVC utilizes hierarchical-B prediction structures for enhanced compression.
  • Optimizing temporal prediction is crucial for reducing computational complexity in SVC.

Purpose of the Study:

  • To develop a fast algorithm for efficient temporal prediction type selection in H.264/MPEG-4 SVC.
  • To reduce the computational burden associated with bi-directional (BI) prediction in dyadic hierarchical-B structures.
  • To improve encoding efficiency without significant degradation of coding performance.

Main Methods:

  • Leveraging prediction type inheritance correlations to optimize BI prediction in finer partitions.
  • Analyzing motion bit-rate costs and distortions between BI and uni-directional temporal prediction types.
  • Developing adaptive thresholds to eliminate unnecessary BI calculations and skipping FW/BW prediction for smaller partitions.

Main Results:

  • Achieved encoding time savings of 48% to 67% compared to JSVM 9.11 software.
  • Demonstrated effectiveness across a variety of test videos and coding bit-rates.
  • Maintained only a minor loss in coding performance.

Conclusions:

  • The proposed algorithm significantly accelerates H.264/MPEG-4 SVC encoding by optimizing temporal prediction.
  • Efficiently reduces computational complexity, particularly for BI prediction, leading to substantial time savings.
  • Offers a practical solution for real-time video processing and transmission with improved efficiency.