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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/3460148883db-c13c-4403-8368-e85e3dcf9e56
名前 / ファイル | ライセンス | アクション |
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Item type | 会議発表論文 / Conference Paper(1) | |||||||||||||||||
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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 | |||||||||||||||||
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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
× Inaba, Takafumi
× Sakurai, Hiroko
× Ono, Masaomi
× Tsumura, Tomoaki
× 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 |
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出版者 | ||||||||||||||||||
出版者 | Winter School of Computer Graphics | |||||||||||||||||
言語 | en | |||||||||||||||||
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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 |