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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

13 Citations (Scopus)

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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.

Original language	English
Title of host publication	2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009)
Editors	P Zinterhof, S Loncaric, A Uhl, A Carini
Place of Publication	NEW YORK
Publisher	IEEE (The Institute of Electrical and Electronics Engineers)
Pages	614-619
Number of pages	6
ISBN (Print)	978-1-4244-5649-9
Publication status	Published - 2009
Event	6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009) - , Austria Duration: 16-Sept-2009 → 18-Sept-2009

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Other	6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009)
Country/Territory	Austria
Period	16/09/2009 → 18/09/2009

Keywords

CODEC

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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 (Eds.), 2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009) (pp. 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). editor / P Zinterhof ; S Loncaric ; A Uhl ; A Carini. NEW YORK : IEEE (The Institute of Electrical and Electronics Engineers), 2009. pp. 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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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",

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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)",

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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 (eds), 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, pp. 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). ed. / P Zinterhof; S Loncaric; A Uhl; A Carini. NEW YORK: IEEE (The Institute of Electrical and Electronics Engineers), 2009. p. 614-619.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Laan, Wladimir J. van der

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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

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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.

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A2 - Carini, A

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ER -

Accelerating Wavelet-Based Video Coding on Graphics Hardware using CUDA

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