GPGPU-Based Painterly Rendering for Mobile Environment

Seulbeom Kim; Dongwann Kang; Kyunghyun Yoon

doi:10.1007/978-3-319-65849-0_24

GPGPU-Based Painterly Rendering for Mobile Environment

Seulbeom Kim, Dongwann Kang, Kyunghyun Yoon

Dept. of Computer Science and Engineering

Chung-Ang University

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

Abstract

This paper presents a method for the real-time implementation of brush stroke-based painterly rendering in a mobile environment using the General-Purpose computing on Graphics Processing Units (GPGPU). We parallelize brush search and comparison, and accelerate them using GPGPU to improve the computation time. Through this approach, a 35 times higher computational speedup was achieved for high-resolution images compared to the previous Central Processing Unit (CPU)-based painterly rendering algorithms.

Original language	English
Title of host publication	E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers
Editors	Abdennour El Rhalibi, Feng Tian, Christos Gatzidis, Wen Tang, Fred Charles
Publisher	Springer Verlag
Pages	224-227
Number of pages	4
ISBN (Print)	9783319658483
DOIs	https://doi.org/10.1007/978-3-319-65849-0_24
State	Published - 2017
Event	11th International Conference on E-Learning and Games, Edutainment 2017 - Bournemouth, United Kingdom Duration: 26 Jun 2017 → 28 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10345 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on E-Learning and Games, Edutainment 2017
Country/Territory	United Kingdom
City	Bournemouth
Period	26/06/17 → 28/06/17

Keywords

Mobile environment
Non-photorealistic rendering
Painterly rendering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-65849-0_24

Cite this

Kim, S., Kang, D., & Yoon, K. (2017). GPGPU-Based Painterly Rendering for Mobile Environment. In A. El Rhalibi, F. Tian, C. Gatzidis, W. Tang, & F. Charles (Eds.), E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers (pp. 224-227). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10345 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-65849-0_24

Kim, Seulbeom ; Kang, Dongwann ; Yoon, Kyunghyun. / GPGPU-Based Painterly Rendering for Mobile Environment. E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers. editor / Abdennour El Rhalibi ; Feng Tian ; Christos Gatzidis ; Wen Tang ; Fred Charles. Springer Verlag, 2017. pp. 224-227 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "GPGPU-Based Painterly Rendering for Mobile Environment",

abstract = "This paper presents a method for the real-time implementation of brush stroke-based painterly rendering in a mobile environment using the General-Purpose computing on Graphics Processing Units (GPGPU). We parallelize brush search and comparison, and accelerate them using GPGPU to improve the computation time. Through this approach, a 35 times higher computational speedup was achieved for high-resolution images compared to the previous Central Processing Unit (CPU)-based painterly rendering algorithms.",

keywords = "Mobile environment, Non-photorealistic rendering, Painterly rendering",

author = "Seulbeom Kim and Dongwann Kang and Kyunghyun Yoon",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 11th International Conference on E-Learning and Games, Edutainment 2017 ; Conference date: 26-06-2017 Through 28-06-2017",

year = "2017",

doi = "10.1007/978-3-319-65849-0\_24",

language = "English",

isbn = "9783319658483",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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editor = "\{El Rhalibi\}, Abdennour and Feng Tian and Christos Gatzidis and Wen Tang and Fred Charles",

booktitle = "E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers",

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Kim, S, Kang, D & Yoon, K 2017, GPGPU-Based Painterly Rendering for Mobile Environment. in A El Rhalibi, F Tian, C Gatzidis, W Tang & F Charles (eds), E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10345 LNCS, Springer Verlag, pp. 224-227, 11th International Conference on E-Learning and Games, Edutainment 2017, Bournemouth, United Kingdom, 26/06/17. https://doi.org/10.1007/978-3-319-65849-0_24

GPGPU-Based Painterly Rendering for Mobile Environment. / Kim, Seulbeom; Kang, Dongwann; Yoon, Kyunghyun.
E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers. ed. / Abdennour El Rhalibi; Feng Tian; Christos Gatzidis; Wen Tang; Fred Charles. Springer Verlag, 2017. p. 224-227 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10345 LNCS).

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

TY - GEN

T1 - GPGPU-Based Painterly Rendering for Mobile Environment

AU - Kim, Seulbeom

AU - Kang, Dongwann

AU - Yoon, Kyunghyun

PY - 2017

Y1 - 2017

N2 - This paper presents a method for the real-time implementation of brush stroke-based painterly rendering in a mobile environment using the General-Purpose computing on Graphics Processing Units (GPGPU). We parallelize brush search and comparison, and accelerate them using GPGPU to improve the computation time. Through this approach, a 35 times higher computational speedup was achieved for high-resolution images compared to the previous Central Processing Unit (CPU)-based painterly rendering algorithms.

AB - This paper presents a method for the real-time implementation of brush stroke-based painterly rendering in a mobile environment using the General-Purpose computing on Graphics Processing Units (GPGPU). We parallelize brush search and comparison, and accelerate them using GPGPU to improve the computation time. Through this approach, a 35 times higher computational speedup was achieved for high-resolution images compared to the previous Central Processing Unit (CPU)-based painterly rendering algorithms.

KW - Mobile environment

KW - Non-photorealistic rendering

KW - Painterly rendering

UR - https://www.scopus.com/pages/publications/85032509480

U2 - 10.1007/978-3-319-65849-0_24

DO - 10.1007/978-3-319-65849-0_24

M3 - Conference contribution

AN - SCOPUS:85032509480

SN - 9783319658483

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 224

EP - 227

BT - E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers

A2 - El Rhalibi, Abdennour

A2 - Tian, Feng

A2 - Gatzidis, Christos

A2 - Tang, Wen

A2 - Charles, Fred

PB - Springer Verlag

T2 - 11th International Conference on E-Learning and Games, Edutainment 2017

Y2 - 26 June 2017 through 28 June 2017

ER -

Kim S, Kang D, Yoon K. GPGPU-Based Painterly Rendering for Mobile Environment. In El Rhalibi A, Tian F, Gatzidis C, Tang W, Charles F, editors, E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers. Springer Verlag. 2017. p. 224-227. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-65849-0_24

GPGPU-Based Painterly Rendering for Mobile Environment

Abstract

Publication series

Conference

Keywords

UN SDGs

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