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  1. 研究論文

RaVioli: a GPU Supported High-Level Pseudo Real-time Video Processing Library

https://nitech.repo.nii.ac.jp/records/3460
https://nitech.repo.nii.ac.jp/records/3460
148883db-c13c-4403-8368-e85e3dcf9e56
名前 / ファイル ライセンス アクション
tsumura_2011_wscg_5.pdf 本文_fulltext (3.7 MB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2012-11-07
タイトル
タイトル RaVioli: a GPU Supported High-Level Pseudo Real-time Video Processing Library
言語 en
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者 Kondo, Katsuhiko

× Kondo, Katsuhiko

en Kondo, Katsuhiko

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Inaba, Takafumi

× Inaba, Takafumi

en Inaba, Takafumi

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Sakurai, Hiroko

× Sakurai, Hiroko

en Sakurai, Hiroko

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Ono, Masaomi

× Ono, Masaomi

en Ono, Masaomi

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Tsumura, Tomoaki

× Tsumura, Tomoaki

en Tsumura, Tomoaki

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Matsuo, Hiroshi

× Matsuo, Hiroshi

en Matsuo, Hiroshi

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著者別名
識別子Scheme WEKO
識別子 8669
識別子Scheme NRID
識別子URI http://rns.nii.ac.jp/nr/1000000335233
識別子 1000000335233
姓名 津邑, 公暁
著者別名
識別子Scheme WEKO
識別子 8515
識別子Scheme NRID
識別子URI http://rns.nii.ac.jp/nr/1000000219396
識別子 1000000219396
姓名 松尾, 啓志
書誌情報 en : Proc. 19th Int'l Conf. on Computer Graphics, Visualization and Computer Vision (WSCG' 2011)

p. 39-48, 発行日 2011-01-31
出版者
出版者 Winter School of Computer Graphics
言語 en
著者版フラグ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
内容記述
内容記述タイプ Other
内容記述 Real-time video processing applications such as intruder detection system are now in demand and being developed. However, on general purpose computers, it is difficult to guarantee that enough CPU resources can be surely be provided. We have proposed a pseudo real-time video processing library RaVioli for solving this problem. RaVioli conceals two types of resolutions, frame rate and the number of pixels, from programmers. This makes video and image processing programmings more intuitive, but the performance may be lower by the abstraction overhead. To solve this problem, this paper proposes an improvement of RaVioli for supporting GPU platforms. For using GPUs effectively, a deep knowledge about them has been required, and this would have been a burden to programmers. The proposition on this paper provides an easy-to-use framework for developers. They can benefit from GPU without rewriting their RaVioli programs and get high performance video processing. The experiment results with image/video processing programs show that the proposed method improves the performance about 151-fold/164-fold in maximum against traditional RaVioli without rewriting programs, and about 30-fold/4-fold in maximum against a native C++ program.
言語 en
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