Abstract
This paper presents a lossless video compression system based on a novel Backward Adaptive pixel-based fast Predictive Motion Estimation (BAPME). Unlike the widely used block-matching motion estimation techniques, this scheme predicts the motion on a pixel-by-pixel basis by comparing a group of past observed pixels between two adjacent frames, eliminating the need of transmitting side information. Combined with prediction and a fast search technique, the proposed algorithm achieves better entropy results and significant reduction in computation than pixel-based full search for a set of standard test sequences. Experimental results also show that BAPME outperforms block-based full search in terms of speed and entropy. We also provide the sub-pixel version of BAPME as well as integrate BAPME in a complete lossless video compression system. The experimental results are superior to the selected state-of-the-art schemes.
Original language | English |
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Pages (from-to) | 961–972 |
Number of pages | 12 |
Journal | Signal Processing: Image Communication |
Volume | 27 |
Issue number | 9 |
Early online date | 7 Jul 2012 |
DOIs | |
Publication status | Published - Oct 2012 |
Keywords
- Lossless compression
- Video compression
- Pixel-based prediction
- Motion estimation
- Fast search