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Real Time Web-based Toolbox for Computer Vision
Journal of Science and Technology of the Arts Pub Date : 2018-06-30 , DOI: 10.7559/citarj.v10i2.494
Sidi Ahmed Mahmoudi , Mohammed Amin Belarbi , Mohammed El Adoui , Mohammed Amine Larhmam , Fabian Lecron

The last few years have been strongly marked by the presence of multimedia data (images and videos) in our everyday lives. These data are characterized by a fast frequency of creation and sharing since images and videos can come from different devices such as cameras, smartphones or drones. The latter are generally used to illustrate objects in different situations (airports, hospitals, public areas, sport games, etc.). As result, image and video processing algorithms have got increasing importance for several computer vision applications such as motion tracking, event detection and recognition, multimedia indexation and medical computer-aided diagnosis methods. In this paper, we propose a real time cloud-based toolbox (platform) for computer vision applications. This platform integrates a toolbox of image and video processing algorithms that can be run in real time and in a secure way. The related libraries and hardware drivers are automatically integrated and configured in order to offer to users an access to the different algorithms without the need to download, install and configure software or hardware. Moreover, the platform offers the access to the integrated applications from multiple users thanks to the use of Docker (Merkel, 2014) containers and images.Experimentations were conducted within three kinds of algorithms: 1. image processing toolbox. 2. Video processing toolbox. 3. 3D medical methods such as computer-aided diagnosis for scoliosis and osteoporosis. These experimentations demonstrated the interest of our platform for sharing our scientific contributions related to computer vision domain. The scientific researchers could be able to develop and share easily their applications fastly and in a safe way.

中文翻译:

实时的基于Web的计算机视觉工具箱

在过去的几年中,我们日常生活中多媒体数据(图像和视频)的存在给人以强烈的印象。这些数据的特点是创建和共享频率很高,因为图像和视频可以来自不同的设备,例如相机,智能手机或无人机。后者通常用于说明不同情况下的对象(机场,医院,公共区域,运动游戏等)。结果,图像和视频处理算法对于几种计算机视觉应用(例如运动跟踪,事件检测和识别,多媒体索引和医学计算机辅助诊断方法)变得越来越重要。在本文中,我们为计算机视觉应用提出了一个基于云的实时工具箱(平台)。该平台集成了可以实时安全地运行的图像和视频处理算法工具箱。相关的库和硬件驱动程序会自动集成和配置,以便为用户提供对不同算法的访问权限,而无需下载,安装和配置软件或硬件。此外,由于使用了Docker(Merkel,2014)容器和图像,该平台使多个用户可以访问集成应用程序。实验在以下三种算法中进行:1.图像处理工具箱。2.视频处理工具箱。3. 3D医学方法,例如脊柱侧弯和骨质疏松的计算机辅助诊断。这些实验证明了我们平台共享与计算机视觉领域相关的科学贡献的兴趣。科研人员可以快速,安全地开发和共享他们的应用程序。
更新日期:2018-06-30
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