semantic image的例句大全

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。

Develop a semantic image retrieval method using multiple instance learning.

提出了一种采用多示例学习的图像语义检索方法。

The Latent Semantic Image Retrieval Based on Non-negative Matrix Factorization

基于非负矩阵分解的隐含语义图像检索

As a result, recent research on image retrieval has shifted to semantic image retrieval.

因此，现在关于图像检索的研究已转换到语义图像检索中。

in this paper the authors summarize major aspects of the construction of a semantic image retrieval system, and introduce the xml description and system realization method based on mpeg-7 image semantics, which can be used to construct a framework for a semantic image retrieval system.

语义检索系统的实现。基于MPEC-7图像语义的XML描述和系统检索的实现方法，构建了基于语义的图像检索系统的框架。

Research on Several Key Issues of Emotional Semantic Image Retrieval

基于情感语义的图像检索关键技术研究

Semantic image retrieval: review and research

语义图像检索研究进展

Thus, the semantic image retrieval and classification is proposed.

针对这一问题，提出了图像语义检索和分类技术。

The rhythmic beauty of languages is made up of acoustic beauty in phonetic layer, image beauty in imagery layer and beauty of emotional movement in semantic layer.

语言的节奏美由语音层的音响美、意象层的画面美、语意层的情感运动美构成。

Secondly, on the basis of finished work, using the SVM machine learning method, construct a appropriate Kernel function of SVM to realize semantic modeling of appearance design image thereby achieve the transformation from visual feature to high-level semantic.

然后，在此基础上利用基于SVM机器学习的方法，构造一个适当的SVM核函数，来实现外观设计图像的语义建模从而完成视觉特征到高层语义的转化。

We use a standard semantic representation to express the image message.

我们使用一个标准的语义表示来表示图像信息。

Visual words can describe image middle-level semantic content.

视觉词汇模型能描述图像的中层语义特征。

Firstly, a few of object oriented image content models and image semantic content representations are introduced.

讨论了面向对象的图像内容模型和图像语义表示问题；

Linking the Semantic Gap in the Content-based Image Retrieval Technology

连接基于内容图像检索技术中的语义鸿沟

Feature extraction is one of the elementary problems in the area of image retrieval. It is the key to the retrieval problems based not only on domain specific visual contents, general visual contents but also on semantic contents.

特征提取是图像检索研究的最基本的问题之一，无论是基于特定领域的视觉内容、基于通用视觉内容还是基于语义内容的图像检索，提取有效的鉴别特征是解决检索问题的关键。

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。

How to solve the "semantic gap" is the key problem of semantic-based image retrieval.

如何解决语义鸿沟是语义图像检索的关键问题。

A Medical Image Semantic Modeling Based on Hierarchical Bayesian Networks

基于多层贝叶斯网络的医学图像语义建模

The interface based on technologies of image processing and semantic model has been designed.

文中对用于地图内容查询系统的可视化交互界面应具有的功能进行了分析，设计了一种基于语义模型和图像处理技术的地图目标查询的交互界面。

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。