Backward Adaptive Pixel-based Fast Predictive Motion Estimation

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 obser...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 16; no. 5; pp. 370 - 373
Main Authors Xiaolin Chen, Canagarajah, N., Nunez-Yanez, J.L.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Accuracy
Algorithm design and analysis
Algorithms
Blocking
Deformable models
Entropy
Fast search
Frames
Hardware
lossless video compression
Motion estimation
pixel-based prediction
Pixels
predictive search
Propagation losses
Searching
Shape
Testing
Transmission
Video compression
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2016475