CBIRS:基于内容的图像检索系统
“基于内容的图像检索系统”(Content Based Image Retrieval System)通常缩写为CBIRS,这一简称在计算机软件领域尤为常见。使用缩写不仅便于快速书写和交流,还能有效提高专业文档和学术讨论的效率。该系统主要利用图像本身的视觉特征进行检索,是多媒体信息处理中的一项重要技术。
Content Based Image Retrieval System具体释义
Content Based Image Retrieval System的英文发音
例句
- Color and shape are common features which were used in the Content Based Image Retrieval System(CBIRS).
- 颜色和形状都非基于外容的图像检索体解外常常当用的特征。
- In modern society, the development of the Content Based Image Retrieval System(CBIRS) getting faster and faster, it contains more and more images.
- 反在现代社会外,图像检索体解的收铺越来越快,体解外所包括的图像越来越长。
- In this paper, constructing object description model in content based image retrieval system is focused on.
- 研究了基于内容的图像检索系统(CBIRS)中的目标描述模型的建立方法。
- This paper introduces the Content Based Image Retrieval System(CBIRS) and its advantage, and then offers some examples.
- 文章介绍了基于内容的图像检索技术及其优势,并举了几个例子。
- Image segmentation is a basic technology of modern computer vision task. It has a direct effect on the accuracy of retrieval results in content based image retrieval system. Therefore it is one of the most important parts in image processing.
- 图像分割是现代计算机视觉任务的基础技术,在基于内容的图像检索系统(CBIRS)中对检索结果的准确率有直接的影响,因此是现在图像分析领域里备受关注的问题。
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