Title :
Backward Adaptive Pixel-based Fast Predictive Motion Estimation
Author :
Chen, Xiaolin ; Canagarajah, Nishan ; Nunez-Yanez, Jose L.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol
fDate :
5/1/2009 12:00:00 AM
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.
Keywords :
data compression; entropy; image sequences; motion estimation; prediction theory; search problems; video coding; backward adaptive pixel; entropy; fast predictive motion estimation; lossless video compression; search technique; standard test sequence; Accuracy; Algorithm design and analysis; Deformable models; Entropy; Hardware; Motion estimation; Propagation losses; Shape; Testing; Video compression; Fast search; lossless video compression; motion estimation; pixel-based prediction; predictive search;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2016475