因此，如何进行有效的视频语义标注是本文研究的目的。
So, how to do video annotation efficiently is the purpose of this paper.
本文讨论了利用半监督学习方法进行视频语义标注的问题。
In this paper, we discuss the problem of using semi-supervised learning method to do video semantic annotation.
实验结果表明，通过该方法能提高图像自动语义标注的准确率。
The experimental results show that the new method can improve the precision of image annotation.
语义标注是利用本体知识对网页中的概念或概念实例进行描述的。
Semantic annotations are to describe instance data in the webpage with ontology knowledge and map them into ontology classes.
语义标注定义在服务中描述的操作的输入、输出、前提的含义以及操作产生的效果。
Semantic annotations define the meaning of the inputs, outputs, preconditions and effects of the operations described in a service interface.
图片自动语义标注是基于内容图像检索中很重要且很有挑战性的工作。
Automatic linguistic indexing of pictures is an important but highly challenging problem for researchers in content-based 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。
In the animation image retrieval system, image semantic annotation has a directly influence on the result of image retrieval.
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。
In order to improve the performance of the image annotation, an image semantic annotation method based on multi-modal relational graph was proposed.
这两个层次的语义标注研究对于动画素材图像语义检索系统的高效运行有着重要意义。
This two-level semantic annotation research is of great significance to the semantic-based image retrieval system.
您可以在XACML 中捕获访问控制规则，并引用生命周期状态和诸如分类及属性等语义标注。
You can capture Access Control Rules in XACML and reference life cycle states and semantic annotations such as classifications, and properties.
这种语义标注的表达能力和灵活性要强于已有的其它语音识别引擎开发接口中提供的方法。
Our semantic tagging scheme demonstrates more expressive capability and flexibility, compared to other schemes provided by speech recognition engine vendors used in their proprietary APIs.
目前已有的视频语义标注方法多是基于统计学理论，采用全监督学习方法进行语义标注工作。
At present, most of video semantic annotation methods are based on statistic theory. The methods use supervised learning method to do semantic label.
文中分析了图像语义标注的现状以及存在的问题，提出了基于语义分类的文物语义标注方法。
The characteristics lie in the aspects of semantic types, morpheme types and whether the compounds are used as independent sentences.
其实质是在本体概念模型的指导下，实现对学术资源数据的语义标注，完成领域内的知识描述。
Its essence is to realize semantic annotation of academic resources data and complete the domain knowledge description under the guidance of the conceptual model of the ontology.
最后，为了验证本文提出的语义标注方法的有效性，在葡萄酒领域设计和实现了语义标注实验。
So, it can directly annotate the word documents. Finally, in order to validate the performance of this method, the author has designed and realized an experiment in the wine domain.
并且，针对词性标注容易引起语义缺失的问题，提出了以语义标注作为医案信息抽取规则的方案。
Furthermore, for part of speech tagging usually causes semantic loses, semantic tagging is suggested to be the method for medical information extraction.
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。
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.
作为新一代网络——语义网的主要技术基础，本体是目前最流行的可用来解决信息的语义标注的新技术。
As the main technical basis for the semantic Web, ontology is the most popular technology used to solve the semantic annotation of information.
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。
This method overcomes the limit of the traditional statistical based semantic annotation method. It improved the accuracy and efficiency of image semantic annotation.
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。
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.
请参见规范，了解不同标注的具体语法和语义，但相同事务和安全功能都有标注。
See the specification for specific syntax and semantics of the different annotations, but the same transactional and security features all have annotations.
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。
A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.
对此提出了一种为图像提供语义标签的标注方法。
An annotation procedure for providing images with semantic labels was proposed.
本文介绍了汉语框架语义网(CFN)构建现状，并详细的论述了CFN自动标注方法和构建面向中文问答处理知识库的探索过程。
This paper explains status quo of project of constructing Chinese FrameNet (CFN) and approach and process of CFN automatic tagging and knowledge base of face Chinese question and answer.
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .
通过引入元数据的标注完成对场景的标注，实现用户的语义查询。
The semantic retrieval of news video is implemented by the annotation of scene through metadata 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。
The semantic gap between image semantic and visual features will be solved in image annotation.
本文提出了一种基于层叠条件随机场的CFN句法语义自动标注方法。
This paper presents an approach of Syntactic and Semantic of CFN automatic tagging based on cascaded conditional random fields model.
语义角色标注是浅层语义分析的一种可行方案。
Semantic role labeling is a feasible proposal to shallow semantic parsing.
语义角色标注是浅层语义分析的一种可行方案。
Semantic role labeling is a feasible proposal to shallow semantic parsing.
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