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

Sungjei Kim; Yoonsik Choe; Yong Goo Kim

doi:10.1117/1.3597642

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

Sungjei Kim, Yoonsik Choe, Yong Goo Kim

Department of Electrical and Electronic Engineering

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

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 language	English
Article number	077403
Journal	Optical Engineering
Volume	50
Issue number	7
DOIs	https://doi.org/10.1117/1.3597642
Publication status	Published - 2011 Jul

Bibliographical note

Funding Information:
This work has been supported by the MKE(The Ministry of Knowledge Economy), Korea, under the “ITRC(Information Technology Research Center)” support program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2011-C1090-1101-0006).

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Engineering(all)

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title = "Advanced intra prediction based on optimal linear predictors for weakly-predicted subspace",

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author = "Sungjei Kim and Yoonsik Choe and Kim, {Yong Goo}",

note = "Funding Information: This work has been supported by the MKE(The Ministry of Knowledge Economy), Korea, under the “ITRC(Information Technology Research Center)” support program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2011-C1090-1101-0006).",

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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.

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

Abstract

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All Science Journal Classification (ASJC) codes

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