...之间存在巨大的“语义鸿沟”,为了缩小存在的巨大差距,基于高层语义图像检索(H IR,High-level Semantic-Based Image Retrieval)成为图像检索领域的研究热点。
基于8个网页-相关网页
在基于内容的图像检索系统中,图像低层特征和图像所表达高层概念之间的不一致性导致系统出现语义鸿沟问题。
In content-based image retrieval systems, the inconsistency between image low-level features and the concept of high-level expressed by images lead to system semantic gap problem.
在基于内容的图像检索基础上,提出了基于高层语义词和颜色词检索。
This paper presents a new image retrieval method based on high-level semantics word and color name.
本文通过对现有基于内容图像标引及检索技术的简要介绍,提出应在现有系统中增加图像的高层语义概念描述,以更接近于人的视觉效果。
This paper introduced the technology of content based image indexing and retrieval concisely. It propose to increase high level semantic describe of image to approach visual sense of human being.
应用推荐