Fast motion-estimation algorithm based on progressive partial norm matching

W. G. Hong; T. M. Oh; S. J. Ko

doi:10.1049/el:20010608

Fast motion-estimation algorithm based on progressive partial norm matching

W. G. Hong, T. M. Oh, S. J. Ko

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

A fast block-motion-estimation algorithm, based on progressive partial norm matching, is proposed. This fast algorithm obtains the best estimate of motion vectors with a significantly reduced computational load by successively exploiting the partial norms of the variable partitioned subblocks and thus effectively eliminating invalid search points. Simulation results demonstrate that computation time has been reduced dramatically, while the performance of the proposed algorithm is the same as that using an exhaustive search.

Original language	English
Pages (from-to)	890-892
Number of pages	3
Journal	Electronics Letters
Volume	37
Issue number	14
DOIs	https://doi.org/10.1049/el:20010608
Publication status	Published - 2001 Jul 5

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/el:20010608

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title = "Fast motion-estimation algorithm based on progressive partial norm matching",

abstract = "A fast block-motion-estimation algorithm, based on progressive partial norm matching, is proposed. This fast algorithm obtains the best estimate of motion vectors with a significantly reduced computational load by successively exploiting the partial norms of the variable partitioned subblocks and thus effectively eliminating invalid search points. Simulation results demonstrate that computation time has been reduced dramatically, while the performance of the proposed algorithm is the same as that using an exhaustive search.",

author = "Hong, {W. G.} and Oh, {T. M.} and Ko, {S. J.}",

year = "2001",

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N2 - A fast block-motion-estimation algorithm, based on progressive partial norm matching, is proposed. This fast algorithm obtains the best estimate of motion vectors with a significantly reduced computational load by successively exploiting the partial norms of the variable partitioned subblocks and thus effectively eliminating invalid search points. Simulation results demonstrate that computation time has been reduced dramatically, while the performance of the proposed algorithm is the same as that using an exhaustive search.

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Fast motion-estimation algorithm based on progressive partial norm matching

Abstract

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