An Inter-Prediction Method Using Sparse Representation for High Efficiency Video Coding

Koji INOUE; Kohei ISECHI; Hironobu SAITO; Yoshimitsu KUROKI

doi:10.1587/transfun.E96.A.2191

An Inter-Prediction Method Using Sparse Representation for High Efficiency Video Coding

Koji INOUE, Kohei ISECHI, Hironobu SAITO, Yoshimitsu KUROKI

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Summary :

This paper proposes an inter-prediction method for the upcoming video coding standard named HEVC (High Efficiency Video Coding). The HEVC offers an inter-prediction framework called local intensity compensation which represents a current block by a linear combination of some reference blocks. The proposed method calculates weight coefficients of the linear combination by using sparse representation. Experimental results show that the proposed method increases prediction accuracy in comparison with other methods.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.11 pp.2191-2193

Publication Date: 2013/11/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E96.A.2191

Type of Manuscript: Special Section LETTER (Special Section on Smart Multimedia & Communication Systems)

Category: Image Processing

Authors

Koji INOUE
  the Kurume National College of Technology
Kohei ISECHI
  the Kurume National College of Technology
Hironobu SAITO
  University of Tsukuba
Yoshimitsu KUROKI
  the Kurume National College of Technology

Keyword

inter prediction, high efficiency video coding, sparse representation

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Koji INOUE, Kohei ISECHI, Hironobu SAITO, Yoshimitsu KUROKI, "An Inter-Prediction Method Using Sparse Representation for High Efficiency Video Coding" in IEICE TRANSACTIONS on Fundamentals, vol. E96-A, no. 11, pp. 2191-2193, November 2013, doi: 10.1587/transfun.E96.A.2191.
Abstract: This paper proposes an inter-prediction method for the upcoming video coding standard named HEVC (High Efficiency Video Coding). The HEVC offers an inter-prediction framework called local intensity compensation which represents a current block by a linear combination of some reference blocks. The proposed method calculates weight coefficients of the linear combination by using sparse representation. Experimental results show that the proposed method increases prediction accuracy in comparison with other methods.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.2191/_p

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@ARTICLE{e96-a_11_2191,
author={Koji INOUE, Kohei ISECHI, Hironobu SAITO, Yoshimitsu KUROKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Inter-Prediction Method Using Sparse Representation for High Efficiency Video Coding},
year={2013},
volume={E96-A},
number={11},
pages={2191-2193},
abstract={This paper proposes an inter-prediction method for the upcoming video coding standard named HEVC (High Efficiency Video Coding). The HEVC offers an inter-prediction framework called local intensity compensation which represents a current block by a linear combination of some reference blocks. The proposed method calculates weight coefficients of the linear combination by using sparse representation. Experimental results show that the proposed method increases prediction accuracy in comparison with other methods.},
keywords={},
doi={10.1587/transfun.E96.A.2191},
ISSN={1745-1337},
month={November},}

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TY - JOUR
TI - An Inter-Prediction Method Using Sparse Representation for High Efficiency Video Coding
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2191
EP - 2193
AU - Koji INOUE
AU - Kohei ISECHI
AU - Hironobu SAITO
AU - Yoshimitsu KUROKI
PY - 2013
DO - 10.1587/transfun.E96.A.2191
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2013
AB - This paper proposes an inter-prediction method for the upcoming video coding standard named HEVC (High Efficiency Video Coding). The HEVC offers an inter-prediction framework called local intensity compensation which represents a current block by a linear combination of some reference blocks. The proposed method calculates weight coefficients of the linear combination by using sparse representation. Experimental results show that the proposed method increases prediction accuracy in comparison with other methods.
ER -