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|
|Pages (from-to)||370 - 373|
|Number of pages||4|
|Journal||IEEE Signal Processing Letters|
|Publication status||Published - May 2009|
Bibliographical notePublisher: IEEE
Rose publication type: Journal article
Sponsorship: This work was supported by EPSRC under
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- fast search
- lossless video compression
- motion estimation
- pixel-based prediction
- predictive search