• 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。

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  • 2012-2015, Semantic Image Understanding and Recognition Based on Topic Discovery, Natural Science Foundation of China (NSFC), Co-PI.

    基于主题发现的图像语义理解与识别,国家自然科学基金(地区科学基金项目),2012- 2015,参与。

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  • 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。

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  • There are a small amount of pixel-based semantic image annotation systems which have no problem of adequate semantics learning but are time-consuming of the new image's semantic prediction.

    也有少数系统是对像素点级别的特征进行语义学习和预测的,这样虽然可以确保特征的学习足够充分,但是语义的预测过程很耗时。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • The force-dynamics which is a type of image schema developed from mechanics to analyse linguistic structures accounts for the force phenomenon in spatial perception and semantic structures.

    动力意象是根据力学原理形成的一种结构分析图式,它能解释空间感知与语义结构的力学现象。

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  • That lays the foundation for the achievement of clothing image emotional semantic classification.

    为服装图像情感语义分类的实现奠定了基础。

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  • In content-based image retrieval systems, the inconsistency between image low-level features and the concept of high-level expressed by images lead to system semantic gap problem.

    在基于内容的图像检索系统中,图像低层特征和图像所表达高层概念之间的不一致性导致系统出现语义鸿沟问题。

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  • Fuzziness in literature is as follows: semantic fuzziness, image fuzziness and syntactic fuzziness.

    文学模糊主要表现在语义模糊、意象模糊和句法模糊等方面。

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  • 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。

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