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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
Summary
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.
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.
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