The semantic gap between image semantic and visual features will be solved in image annotation.
图像语义的标注需要解决图像高层语义和底层特征间存在的语义鸿沟。
This paper proposes a method of image semantic annotation and retrieval based on concept distribution.
基于概念分布进行检索是实现图像语义检索的方法之一。
Image semantic classification is an important and challenging task in the field of semantic-based image retrieval.
图像语义分类是基于语义的图像检索研究领域中一个重要且有挑战性的课题。
In the animation image retrieval system, image semantic annotation has a directly influence on the result of image retrieval.
在动画素材图像的检索系统中，图像语义标注的质量直接影响了检索的效果。
The image semantic attributes are defined by the private attributes in DICOM and are used to extent the semantic module in image database.
用DICOM标准中的私有属性定义了医学图像中的语义属性，并以此属性定义扩充了图像数据库的语义模块。
In order to explain and calculate the image semantics, the feature vectors and the semantic partition are constructed in structure related.
从高级信息的角度来描述图像语义，建立图像语义的特征矢量空间和语义划分的结构关系，实现图像与语义值的结构表达。
A semantic modeling approach for medical image semantic retrieval based on hierarchical Bayesian networks was proposed, in a small set of samples.
提出一种在小样本的情况下，基于多层贝叶斯网络的医学图像语义建模方法。
In order to improve the performance of the image annotation, an image semantic annotation method based on multi-modal relational graph was proposed.
为了改善图像标注的性能，提出了一种基于多模态关联图的图像语义标注方法。
One of the key technologies in CBIR system is the image semantic segmentation. This paper surveys the techniques for image semantic segmentation and class…
该文分六类对现有的图象语义分割技术进行了全面的总结，为进一步研究基于内容的图象检索技术奠定了基础。
How to annotate the image semantic automatically in order to across semantic gap between the feature and the high-level semantic of the image is a difficult problem.
如何跨越图像底层特征和高层语义之间的语义鸿沟，使机器自动的实现图像语义标注更是研究的难点。
This method overcomes the limit of the traditional statistical based semantic annotation method. It improved the accuracy and efficiency of image semantic annotation.
该方法克服了传统的基于统计的语义标注方法效率低、准确率低的缺点，有效提高了图像语义标注的准确率和效率。
In this paper, the animated image semantic annotation template and norm are proposed to improve multi-level semantic annotation from the objects, events, scenes, space relations on the image.
本文提出了动画素材图像语义标注模板和标注规范，从对象、事件、场景、空间关系等方面对图像的多级语义进行完善的标注。
The thesis presents a semantic vector algorithm, builds up the network of image semantic keywords, and realizes the composite retrieval of the image low-level feature and semantics characteristics.
提出了一种语义向量算法，构建了图像语义关键词网络，实现了图像底层视觉特征和语义的复合索引。
Cluuz; Web search engine featuring semantic cluster graphs, image extraction, and tag clouds.
Cluuz；网络搜索引擎，功能包括语义丛图表、图像抽取和标签云。
The local image features are always corresponding to specific semantic classes.
图像局部特征往往对应着特定的语义类别。
Experiments show that the new algorithm proposed can be successfully used in retrieving the image from good-sized image database and extracting semantic information from image automatically.
实验表明本文提出的图像颜色特征提取算法可成功应用于海量图像库检索和图像语义信息的自动提取。
A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.
针对图像检索中的语义鸿沟问题，提出了一种新颖的自动图像标注方法。
On the premise of people's identical thinking activities, translation principles on image of Tang poetry should both take semantic equivalence and aesthetic equivalence into consideration.
在人类思维活动具有同一性的前提下，唐诗意象的翻译原则需要同时考虑语义对等和审美功能对等。
Semantic change is the result of metaphorical mapping across conceptual domains. The sources of mapping are basic-level conception and image schemas.
语义变化是隐喻在概念系统中跨范畴映射的结果，隐喻映射的来源是基本等级概念和意象图式。
Traditional techniques of CBIR try to retrieve images through analyzing the similarity of image visual features, but CBIR cannot meet the requirements of semantic image retrieval.
传统CBIR技术试图通过分析图像视觉特征的相似性来检索图像，这不能满足普通人按语义检索图像的需求。
Therefore, it is still an unsolved problem about how to integrate with semantic features to achieve better connection between the lower physical features and the image content for efficient retrieval.
因此，如何结合语义特征，使得所抽取的低层物理特征和图像内容所表示的语义特征之间建立良好的联系，实现高效的图像检索，仍是很长一段时间内需要研究解决的问题之一。
The description scheme divides the image information into metadata, visual feature and semantic feature and represents it by the XML norm in W3C.
该描述模式将图像信息分为元数据、视觉特征和语义特征三个层次来具体描述，并用W3C的XML规范进行表示。
In terms of the basic semantic elements, Hyperbloe embraces the object, the image and the point of hyperbole.
夸张辞格，就其基本语义要素来说，包括夸张物、夸张形象和夸张点三个方面的内容。
Extraction of object in an image is a precondition for semantic image retrieval.
图像目标提取是图像语义抽取及其应用的基础。
Because of the "semantic gap" which is often encountered in the image data, traditional CBIR technology cant deal with the problem of image retrieval in digital libraries sometimes.
由于图像数据中普遍存在的“语义鸿沟”问题，传统的基于内容的图像检索技术对于数字图书馆中的图像检索往往力不从心。
My mistake — the Semantic Texton Forests paper isn't specifically about image matching, but rather region labeling.
我的错误-语义纹元森林的纸张不是专讲影像匹配，而是区域标记。
For the image and semantic factors, the metaphoric meaning is the first and image is the second.
比喻的形象和语义两者之间，喻义是第一位的，形象是第二位的。
In order to get the semantic correlation of images, two learning methods based-on mutual information and image association factor, are proposed.
提出了基于互信息的图像间语义关系学习方法和基于图像关联因子的图像间语义关系学习方法。
A popular technology is focused on how to build the semantic relevance model for the task of automatic image annotation.
如何挖掘基于语义的相关模型是当前自动图像标注技术中一项重要而迫切的研究课题。
From the ideas said above, a semantic extracting system of image in WWW was developed in this paper.
基于上述思想，本文研发了一个WWW图像语义提取系统。
应用推荐