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基于内容的图像检索(CBIR)

Content Based Image Retrieval (CBIR)
课程网址: http://videolectures.net/russir08_vassilieva_cbir/  
主讲教师: Natalia Vassilieva
开课单位: 惠普公司
开课时间: 2008-11-04
课程语种: 英语
中文简介:
本课程将概述基于内容的图像检索(CBIR)领域的主要任务和方法。首先,我们将讨论图像检索方法在现实生活中的应用问题:使用这些方法可以解决的现实问题是什么,在哪里可以被人类使用。然后,我们将考虑CBIR系统的传统体系结构和开发人员应该解决的主要问题。包括图像预处理和特征提取、多维索引、用户界面设计和数据可视化等。将特别关注低级特征处理(颜色、纹理和形状)和特征向量的构造。将给出已知特征向量的分类,并讨论其中一些特征向量的实验比较结果。在课程的最后部分,我们将简要回顾一些现有的CBIR系统(商业和研究系统),并分析和讨论它们的优缺点。
课程简介: This course will give an overview of the main tasks and methods in the content based image retrieval (CBIR) field. Firstly we will address a question of image retrieval methods application in real life: what are the real-world problems that can be solved using these methods, where it can be used by human. Then we will consider the traditional architecture of CBIR-systems and the main problems which should be solved by the developers of such a system. This includes the discussion of image preprocessing and feature extraction, multidimensional indexing, design of user interface and data visualization. Special attention will be given to low-level feature processing (color, texture and shape) and construction of feature vectors. The classification of known feature vectors will be presented and results of experimental comparison will be discussed for some of them. In the final part of the course we will briefly review some of the existing CBIR systems (both commercial and research ones) and we will analyze and discuss their advantages and disadvantages.
关 键 词: 图像分析; 计算机科学; 信息检索
课程来源: 视频讲座网
最后编审: 2020-03-30:chenxin
阅读次数: 48