Abstract
This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by-pixel basis by comparing a group of past observed pixels in 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 suggest that BAPME is superior to block-based full search in terms of speed and zero-order entropy
| Translated title of the contribution | Backward adaptive pixel-based fast predictive motion estimation |
|---|---|
| Original language | English |
| Pages (from-to) | 370 - 373 |
| Number of pages | 4 |
| Journal | IEEE Signal Processing Letters |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2009 |
Bibliographical note
Publisher: IEEERose publication type: Journal article
Sponsorship: This work was supported by EPSRC under
grant EP/D011639/1
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Keywords
- fast search
- lossless video compression
- motion estimation
- pixel-based prediction
- predictive search