1) image retrieval
图象检索
1.
Image Retrieval Based on Color by ISODATA Algorithm;
基于颜色的自组织聚类分析图象检索算法
2.
The Methods and Applications of Pattern Classification and Image Retrieval byColor Characteristics;
利用颜色进行模式分类与图象检索的方法及应用
3.
Research on the Key Techniques of Content-based Image Retrieval;
基于内容图象检索中关键技术的研究
2) Emotional image retrieval
感性图象检索
4) content-based image retrieval
基于内容的图象检索
1.
The explosive growth of the numbers of images made and content-based image retrieval becomes a research of hot point,image retrieval based on computer has a certain limitation,the feedback mechanism of image retrieval relevance has increasingly shown its importance.
图象数量的爆炸性增长,使得基于内容的图象检索成为一个研究的热点,而以计算机为中心的图象检索方式又有一定的局限性,因此在图象检索中引入相关反馈机制越来越显示出它的重要性。
2.
Content-based image retrieval (CBIR) is a good solution for this problem, and has attracted increasing attention from researchers all over the world recently.
随着数字图象的日益增多,基于内容的图象检索已成为图象使用者和管理者迫切需要解决的问题,近年来,各国研究者纷纷加入该领域的研究。
3.
In the face of such voluminous and complicated information oceans, it is pressed for that one can fast and efficiently acquire the needed information, and powerful multimedia information retrieval tools and presentation tools are absolutely necessary Content-based image retrieval and .
基于内容的图象检索和多媒体同步模型是目前十分活跃的研究领域，开展这方面的研究具有十分重要的理论和现实意义。
5) Content Based Image Retrieval(CBIR)
基于内容的图象检索
6) CBIR
基于内容的图象检索
1.
The goal of content-based image retrieval(CBIR) is uppermost to reduce the semantic gap between the simple visual features and the abundant semantics delivered by an image, and a critical point in the advancement of content-based retrieval is the image semantic modeling and extraction.
基于内容的图象检索系统 ,其目标是最大限度地减小图象简单视觉特征与用户检索丰富语义之间的“语义鸿沟”,因此图象语义处理则成为基于内容的图象检索进一步发展的关键 。
2.
Content-based Image Retrieval (CBIR) is the key technology toaddress this urgent issue.
基于内容的图象检索(CBIR)是解决这一问题的重要技术之一。
补充资料：谱图检索
分子式：
CAS号：
性质：将未知物质谱图与仪器数据系统所带的谱库中已知谱图进行比较，找出与未知物质谱相近的化合的操作过程。
CAS号：
性质：将未知物质谱图与仪器数据系统所带的谱库中已知谱图进行比较，找出与未知物质谱相近的化合的操作过程。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条