Advanced intra prediction based on optimal linear predictors for weakly-predicted subspace

Sungjei Kim, Yoonsik Choe, Yong Goo Kim

Research output: Contribution to journalArticle

Abstract

The performance of intra coding is important in many broadcasting and professional applications, because repeated insertion of intra frames usually requires a large portion of video data. In order to improve such intra coding performance, this paper proposes an advanced intra prediction scheme, systematically increasing prediction precision via optimal linear predictors for weakly-predicted subspace. Experimental results show that the proposed scheme outperforms the conventional and the recent best intra prediction methods by up to 11.41 and 9.08 of bitrate reduction, respectively.

Original languageEnglish
Article number077403
JournalOptical Engineering
Volume50
Issue number7
DOIs
Publication statusPublished - 2011 Jul 1

Fingerprint

predictions
coding
Broadcasting
video data
broadcasting
insertion

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

@article{187d6731fe364a5096f9c19b2ac1ed30,
title = "Advanced intra prediction based on optimal linear predictors for weakly-predicted subspace",
abstract = "The performance of intra coding is important in many broadcasting and professional applications, because repeated insertion of intra frames usually requires a large portion of video data. In order to improve such intra coding performance, this paper proposes an advanced intra prediction scheme, systematically increasing prediction precision via optimal linear predictors for weakly-predicted subspace. Experimental results show that the proposed scheme outperforms the conventional and the recent best intra prediction methods by up to 11.41 and 9.08 of bitrate reduction, respectively.",
author = "Sungjei Kim and Yoonsik Choe and Kim, {Yong Goo}",
year = "2011",
month = "7",
day = "1",
doi = "10.1117/1.3597642",
language = "English",
volume = "50",
journal = "Optical Engineering",
issn = "0091-3286",
publisher = "SPIE",
number = "7",

}

Advanced intra prediction based on optimal linear predictors for weakly-predicted subspace. / Kim, Sungjei; Choe, Yoonsik; Kim, Yong Goo.

In: Optical Engineering, Vol. 50, No. 7, 077403, 01.07.2011.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Advanced intra prediction based on optimal linear predictors for weakly-predicted subspace

AU - Kim, Sungjei

AU - Choe, Yoonsik

AU - Kim, Yong Goo

PY - 2011/7/1

Y1 - 2011/7/1

N2 - The performance of intra coding is important in many broadcasting and professional applications, because repeated insertion of intra frames usually requires a large portion of video data. In order to improve such intra coding performance, this paper proposes an advanced intra prediction scheme, systematically increasing prediction precision via optimal linear predictors for weakly-predicted subspace. Experimental results show that the proposed scheme outperforms the conventional and the recent best intra prediction methods by up to 11.41 and 9.08 of bitrate reduction, respectively.

AB - The performance of intra coding is important in many broadcasting and professional applications, because repeated insertion of intra frames usually requires a large portion of video data. In order to improve such intra coding performance, this paper proposes an advanced intra prediction scheme, systematically increasing prediction precision via optimal linear predictors for weakly-predicted subspace. Experimental results show that the proposed scheme outperforms the conventional and the recent best intra prediction methods by up to 11.41 and 9.08 of bitrate reduction, respectively.

UR - http://www.scopus.com/inward/record.url?scp=80455163295&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80455163295&partnerID=8YFLogxK

U2 - 10.1117/1.3597642

DO - 10.1117/1.3597642

M3 - Article

AN - SCOPUS:80455163295

VL - 50

JO - Optical Engineering

JF - Optical Engineering

SN - 0091-3286

IS - 7

M1 - 077403

ER -