Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation

Murtaza Ali KHAN; Yoshio OHNO

doi:10.1093/ietisy/e90-d.5.844

Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation

Murtaza Ali KHAN, Yoshio OHNO

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This paper presents a method for lossy compression of digital video data by parametric line and Natural cubic spline approximation. The method estimates the variation of pixel values in the temporal dimension by taking group of pixels together as keyblocks and interpolating them in Euclidean space. Break and fit criterion is used to minimize the number of keyblocks required for encoding and decoding of approximated data. Each group of pixels at fixed spatial location is encoded/decoded independently. The proposed method can easily be incorporated in the existing video data compression techniques based on Discrete Cosine Transform or Wavelet Transform.

Publication: IEICE TRANSACTIONS on Information Vol.E90-D No.5 pp.844-850

Publication Date: 2007/05/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e90-d.5.844

Type of Manuscript: PAPER

Category: Image Processing and Video Processing

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Murtaza Ali KHAN, Yoshio OHNO, "Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation" in IEICE TRANSACTIONS on Information, vol. E90-D, no. 5, pp. 844-850, May 2007, doi: 10.1093/ietisy/e90-d.5.844.
Abstract: This paper presents a method for lossy compression of digital video data by parametric line and Natural cubic spline approximation. The method estimates the variation of pixel values in the temporal dimension by taking group of pixels together as keyblocks and interpolating them in Euclidean space. Break and fit criterion is used to minimize the number of keyblocks required for encoding and decoding of approximated data. Each group of pixels at fixed spatial location is encoded/decoded independently. The proposed method can easily be incorporated in the existing video data compression techniques based on Discrete Cosine Transform or Wavelet Transform.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.5.844/_p

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@ARTICLE{e90-d_5_844,
author={Murtaza Ali KHAN, Yoshio OHNO, },
journal={IEICE TRANSACTIONS on Information},
title={Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation},
year={2007},
volume={E90-D},
number={5},
pages={844-850},
abstract={This paper presents a method for lossy compression of digital video data by parametric line and Natural cubic spline approximation. The method estimates the variation of pixel values in the temporal dimension by taking group of pixels together as keyblocks and interpolating them in Euclidean space. Break and fit criterion is used to minimize the number of keyblocks required for encoding and decoding of approximated data. Each group of pixels at fixed spatial location is encoded/decoded independently. The proposed method can easily be incorporated in the existing video data compression techniques based on Discrete Cosine Transform or Wavelet Transform.},
keywords={},
doi={10.1093/ietisy/e90-d.5.844},
ISSN={1745-1361},
month={May},}

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TY - JOUR
TI - Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation
T2 - IEICE TRANSACTIONS on Information
SP - 844
EP - 850
AU - Murtaza Ali KHAN
AU - Yoshio OHNO
PY - 2007
DO - 10.1093/ietisy/e90-d.5.844
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2007
AB - This paper presents a method for lossy compression of digital video data by parametric line and Natural cubic spline approximation. The method estimates the variation of pixel values in the temporal dimension by taking group of pixels together as keyblocks and interpolating them in Euclidean space. Break and fit criterion is used to minimize the number of keyblocks required for encoding and decoding of approximated data. Each group of pixels at fixed spatial location is encoded/decoded independently. The proposed method can easily be incorporated in the existing video data compression techniques based on Discrete Cosine Transform or Wavelet Transform.
ER -