Backward adaptive pixel-based fast predictive motion estimation

X Chen; CN Canagarajah; JL Nunez-Yanez

doi:10.1109/LSP.2009.2016475

Backward adaptive pixel-based fast predictive motion estimation

X Chen
, CN Canagarajah
, JL Nunez-Yanez

Research output: Contribution to journal › Article (Academic Journal) › peer-review

11 Citations (Scopus)

555 Downloads (Pure)

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	https://doi.org/10.1109/LSP.2009.2016475
Publication status	Published - May 2009

Bibliographical note

Publisher: IEEE
Rose publication type: Journal article

Sponsorship: This work was supported by EPSRC under
grant EP/D011639/1

Terms of use: Copyright © 2009 IEEE. Reprinted from IEEE Signal Processing Letters.

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

fast search
lossless video compression
motion estimation
pixel-based prediction
predictive search

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10.1109/LSP.2009.2016475

Chen IEEE SigProLets 2009Accepted author manuscript, 238 KB

http://hdl.handle.net/1983/1559

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title = "Backward adaptive pixel-based fast predictive motion estimation",

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 = "fast search, lossless video compression, motion estimation, pixel-based prediction, predictive search",

author = "X Chen and CN Canagarajah and JL Nunez-Yanez",

note = "Publisher: IEEE Rose publication type: Journal article Sponsorship: This work was supported by EPSRC under grant EP/D011639/1 Terms of use: Copyright {\textcopyright} 2009 IEEE. Reprinted from IEEE Signal Processing Letters. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ",

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language = "English",

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AU - Canagarajah, CN

AU - Nunez-Yanez, JL

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N2 - 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

AB - 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

KW - fast search

KW - lossless video compression

KW - motion estimation

KW - pixel-based prediction

KW - predictive search

U2 - 10.1109/LSP.2009.2016475

DO - 10.1109/LSP.2009.2016475

M3 - Article (Academic Journal)

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SP - 370

EP - 373

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

IS - 5

ER -

Backward adaptive pixel-based fast predictive motion estimation

Abstract

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Keywords

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