Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

Wladimir J. van der Laan; Jos B.T.M. Roerdink; Andrei C. Jalba

Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

Wladimir J. van der Laan, Jos B.T.M. Roerdink, Andrei C. Jalba

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13 Citaten (Scopus)

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The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to video and image compression. This transform, by means of the lifting scheme, can be performed in a memory mid computation efficient way on modern, programmable GPUs, which can be regarded as massively parallel co-processors through NVidia's CUDA compute paradigm. The method is scalable and the fastest GP U implementation among the methods considered. We have integrated our DWT into the Dirac Wavelet Video Codec (DWVC), of which the overlapped block motion compensation compensation and frame arithmetic have been accelerated using CUDA as well.

Originele taal-2	English
Titel	2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)
Redacteuren	P Zinterhof, S Loncaric, A Uhl, A Carini
Plaats van productie	NEW YORK
Uitgeverij	IEEE (The Institute of Electrical and Electronics Engineers)
Pagina's	614-619
Aantal pagina's	6
ISBN van geprinte versie	978-1-4244-5649-9
Status	Published - 2009
Evenement	6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009) - , Austria Duur: 16-sep.-2009 → 18-sep.-2009

Other

Other	6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009)
Land/Regio	Austria
Periode	16/09/2009 → 18/09/2009

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Laan, W. J. V. D., Roerdink, J. B. T. M., & Jalba, A. C. (2009). Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA. In P. Zinterhof, S. Loncaric, A. Uhl, & A. Carini (editors), 2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009) (blz. 614-619). IEEE (The Institute of Electrical and Electronics Engineers).

Laan, Wladimir J. van der ; Roerdink, Jos B.T.M. ; Jalba, Andrei C. / Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA. 2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009). redacteur / P Zinterhof ; S Loncaric ; A Uhl ; A Carini. NEW YORK : IEEE (The Institute of Electrical and Electronics Engineers), 2009. blz. 614-619

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title = "Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA",

abstract = "The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to video and image compression. This transform, by means of the lifting scheme, can be performed in a memory mid computation efficient way on modern, programmable GPUs, which can be regarded as massively parallel co-processors through NVidia's CUDA compute paradigm. The method is scalable and the fastest GP U implementation among the methods considered. We have integrated our DWT into the Dirac Wavelet Video Codec (DWVC), of which the overlapped block motion compensation compensation and frame arithmetic have been accelerated using CUDA as well.",

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author = "Laan, {Wladimir J. van der} and Roerdink, {Jos B.T.M.} and Jalba, {Andrei C.}",

note = "Relation: http://www.rug.nl/informatica/onderzoek/bernoulli Rights: University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science; 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009) ; Conference date: 16-09-2009 Through 18-09-2009",

year = "2009",

language = "English",

isbn = "978-1-4244-5649-9",

pages = "614--619",

editor = "P Zinterhof and S Loncaric and A Uhl and A Carini",

booktitle = "2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)",

publisher = "IEEE (The Institute of Electrical and Electronics Engineers)",

}

Laan, WJVD, Roerdink, JBTM & Jalba, AC 2009, Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA. in P Zinterhof, S Loncaric, A Uhl & A Carini (uitgave), 2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009). IEEE (The Institute of Electrical and Electronics Engineers), NEW YORK, blz. 614-619, 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009), Austria, 16/09/2009.

Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA. / Laan, Wladimir J. van der; Roerdink, Jos B.T.M.; Jalba, Andrei C.
2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009). uitgave / P Zinterhof; S Loncaric; A Uhl; A Carini. NEW YORK: IEEE (The Institute of Electrical and Electronics Engineers), 2009. blz. 614-619.

Onderzoeksoutput › Academic › peer review

TY - GEN

T1 - Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

AU - Laan, Wladimir J. van der

AU - Roerdink, Jos B.T.M.

AU - Jalba, Andrei C.

N1 - Relation: http://www.rug.nl/informatica/onderzoek/bernoulli Rights: University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science

PY - 2009

Y1 - 2009

N2 - The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to video and image compression. This transform, by means of the lifting scheme, can be performed in a memory mid computation efficient way on modern, programmable GPUs, which can be regarded as massively parallel co-processors through NVidia's CUDA compute paradigm. The method is scalable and the fastest GP U implementation among the methods considered. We have integrated our DWT into the Dirac Wavelet Video Codec (DWVC), of which the overlapped block motion compensation compensation and frame arithmetic have been accelerated using CUDA as well.

AB - The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to video and image compression. This transform, by means of the lifting scheme, can be performed in a memory mid computation efficient way on modern, programmable GPUs, which can be regarded as massively parallel co-processors through NVidia's CUDA compute paradigm. The method is scalable and the fastest GP U implementation among the methods considered. We have integrated our DWT into the Dirac Wavelet Video Codec (DWVC), of which the overlapped block motion compensation compensation and frame arithmetic have been accelerated using CUDA as well.

KW - CODEC

M3 - Conference contribution

SN - 978-1-4244-5649-9

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BT - 2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)

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A2 - Loncaric, S

A2 - Uhl, A

A2 - Carini, A

PB - IEEE (The Institute of Electrical and Electronics Engineers)

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T2 - 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009)

Y2 - 16 September 2009 through 18 September 2009

ER -

Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

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