基于属性建模和知识学习的海量商品图像检索

Mass Commodity Image Retrieval Based on Attribute Modeling and Knowledge Learning

当人们理解和探索客观世界时,“形象”在人们的生活中起着非常重要的作用。视觉内容对于理解客观世界的重要性来说非常重要,并且人们经过种种实践也证明了这一观点。相关的科学调查研究表明,人们在进行观察和索取信息的过程当中有70%的因素都来源于视觉。随着现代化多媒体设备的出现,图像已经成为人们日常生活当中最为重要的检索方式之一,并且图像数据的使用已扩展到科学、技术和日常生活等领域,这使得数字图像数量急剧增加。随着图像数量的增加,图像数据的组织问题变得越来越重要,因此迫切需要建立一个准确和有效的图像数据管理系统,从而促进图像恢复技术的发展。

When people understand and explore the objective world,"image"plays a very important role in people's life.Visual content is very important to understand the importance of the objective world,and people through a variety of practice has proved this view.Relevant scientific research shows that 70%of the factors in the process of observation and information acquisition come from vision.With the emergence of modern multimedia equipment,image has become one of the most important retrieval methods in people's daily life,and the use of image data has been extended to the fields of science,technology and daily life,which makes the number of digital images increase rapidly.With the increase of the number of images,the organization of image data becomes more and more important.Therefore,it is urgent to establish an accurate and effective image data management system to promote the development of image restoration technology.