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COBRA: A Content-Based Retrieval Platform for Digital Images

机译：COBRA：基于内容的数字图像检索平台

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摘要

COBRA is an online environment for content-based image retrieval algorithms. Image retrieval in COBRA involves two major steps: image features extraction and image querying. It is designed to easily add algorithms for feature extraction and matching functions that will determine the similarity of the query image and the images in the database without the need to build the whole system from scratch. The system can later be used in image processing and artificial intelligence courses where students can study and modify existing algorithms and add new algorithms for image retrieval. It does not require a high performance computing device for anyone to use the platform since computations are done on the server. To make the computation even faster, feature extraction and image querying will later be done in parallel. Currently, the system can be tested on an image database that is composed of 100,000 images of wide range. Moreover, users making queries can choose from a variety of feature extraction algorithms depending on their needs. COBRA also provides an easy-to-use graphical user interface for all types of users.
机译：COBRA是用于基于内容的图像检索算法的在线环境。 COBRA中的图像检索涉及两个主要步骤：图像特征提取和图像查询。它旨在轻松添加用于特征提取和匹配功能的算法，这些算法将确定查询图像和数据库中图像的相似性，而无需从头开始构建整个系统。该系统以后可用于图像处理和人工智能课程，学生可以在其中学习和修改现有算法，并添加用于图像检索的新算法。由于计算是在服务器上完成的，因此不需要任何人使用高性能计算设备的平台。为了使计算速度更快，稍后将并行进行特征提取和图像查询。当前，可以在由100,000个宽范围图像组成的图像数据库上测试该系统。此外，进行查询的用户可以根据需要从各种特征提取算法中进行选择。 COBRA还为所有类型的用户提供了易于使用的图形用户界面。

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