Shape-Adaptive Motion Estimation Algorithm for MPEG-4 Video Coding
F. Benboubker, F. Abdi, A. Ahaitouf
TL;DR
This paper introduces a gradient-based motion estimation algorithm that leverages shape-motion prediction and neighboring shape correlations to improve MPEG-4 video coding efficiency, achieving better PSNR and faster computation.
Contribution
The paper proposes a novel shape-adaptive motion estimation method that enhances MPEG-4 coding by utilizing shape correlations for faster and more accurate motion estimation.
Findings
Improved PSNR over traditional methods
Reduced computation time
Effective shape-motion correlation utilization
Abstract
This paper presents a gradient based motion estimation algorithm based on shape-motion prediction, which takes advantage of the correlation between neighboring Binary Alpha Blocks (BABs), to match with the Mpeg-4 shape coding case and speed up the estimation process. The PSNR and computation time achieved by the proposed algorithm seem to be better than those obtained by most popular motion estimation techniques.
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Taxonomy
TopicsVideo Coding and Compression Technologies · Advanced Vision and Imaging · Advanced Image Processing Techniques