Motion adaptive deinterlacing via edge pattern recognition

Gwo Giun Lee, Hsin Te Li, Ming Jiun Wang, He Yuan Lin

Research output: Contribution to journalConference article

6 Citations (Scopus)

Abstract

In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of "motion missing" detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.

Original languageEnglish
Article number4253225
Pages (from-to)2662-2665
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 2007 Sep 27
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: 2007 May 272007 May 30

Fingerprint

Pattern recognition
Error detection
Interpolation

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

@article{a1760eec0d2f459bae9b048d0efddeba,
title = "Motion adaptive deinterlacing via edge pattern recognition",
abstract = "In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of {"}motion missing{"} detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.",
author = "Lee, {Gwo Giun} and Li, {Hsin Te} and Wang, {Ming Jiun} and Lin, {He Yuan}",
year = "2007",
month = "9",
day = "27",
language = "English",
pages = "2662--2665",
journal = "Proceedings - IEEE International Symposium on Circuits and Systems",
issn = "0271-4310",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

Motion adaptive deinterlacing via edge pattern recognition. / Lee, Gwo Giun; Li, Hsin Te; Wang, Ming Jiun; Lin, He Yuan.

In: Proceedings - IEEE International Symposium on Circuits and Systems, 27.09.2007, p. 2662-2665.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Motion adaptive deinterlacing via edge pattern recognition

AU - Lee, Gwo Giun

AU - Li, Hsin Te

AU - Wang, Ming Jiun

AU - Lin, He Yuan

PY - 2007/9/27

Y1 - 2007/9/27

N2 - In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of "motion missing" detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.

AB - In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of "motion missing" detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.

UR - http://www.scopus.com/inward/record.url?scp=34548839919&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548839919&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:34548839919

SP - 2662

EP - 2665

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

SN - 0271-4310

M1 - 4253225

ER -