image retrieval的例句大全

Study on Several Key Technologies for Content-Based Multispectral Remote Sensing Image Retrieval

基于内容的多光谱遥感影像检索若干关键技术研究

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The Research of Image Retrieval Based on Edge and Color Feature

基于边缘和颜色特征的图像检索技术研究

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And now it has been applied into other application such as entrance security, video coding, video surveillance and tracking and content based image retrieval etc.

今天，它已远远超出了人脸识别的范畴，在出入安全检查，视频编码，视频监测与跟踪，基于内容的检索等方面都有着极其重要的应用。

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Image Retrieval Based on Subband Energy Histograms of Reordered DCT Coefficients

基于重组DCT系数子带能量直方图的图像检索

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Based on the analysis of the information characteristic of image database ( IDB) the general relation schema of IDB and the conception of Content_based Image Retrieval ( CBIR) were investigated, and then a set model of CBIR was introduced.

在分析图像数据库信息特征的基础上，讨论了图像数据库的一般关系模型和图像数据库基于内容查询的定义，提出了相应的集合代数模型，指出遥感图像基于内容查询实现的两种方案。

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An Image Retrieval Method of Getting the High-level Semantics from the Low-level Features Vision

一种由低层视觉特征获取高层语义的图像检索方法

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The content-based image retrieval technology can effectively resolve the problem and it has also become a hotspot in study.

基于内容的图像检索技术能有效地解决这一问题，成为研究的热点。

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To cure the above problems, this paper presents a novel shape based image retrieval algorithm.

针对以上问题，该文提出了一种新的基于形状的图象检索算法。

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So the performance of document image retrieval algorithm depends on statistical feature abstraction to great extent.

因此，文本图像检索的性能很大程度上依赖于底层统计特征的提取。

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All above has important academic value and practical application to the development of Flower Image Retrieval technologies.

总之，本文针对花卉图像检索提出了若干改进算法，对于植物花卉图像自动检索研究领域的技术发展，有着重要的学术价值和实际应用意义。

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this paper proposes an indexing algorithm of clustering which supports qbe image retrieval for large image databases.

本文提出了一种有效的支持海量图像数据库QBE查询的聚类索引算法。

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How to find the desired image rapidly and accurately from the vast ocean is an urgent problem need to solve. First, the three types of commonly used image retrieval image features, color features, shape features and texture features, were introduced.

如何从浩瀚的图像海洋中快速、准确地找出所需的图像，已成为迫切需要解决的问题。论文首先介绍了图像检索中常用的三种图像特征，即颜色特征、形状特征、和纹理特征。

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New approach to cultural relic image retrieval

一种新的文物图像检索方法

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This dissertation researches on new methods of image features extraction, image retrieval and feature vectors indexing under scientific database environment;

本文的研究目标一方面是提高基于内容图像检索系统的精度，研究的重点是适合于科学数据库图像检索的图像特征提取方法，检索方法、及索引方法；

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Application of Content-Based Image Retrieval to Radar Scene Matching Image Database New applications in a multiresolution environment, such as progressive transmission of image, image database browsing, etc.

机场目标检索在雷达景象匹配数据库中的应用多分辨率环境下的多媒体应用导致了基于内容的视频和图像编码的需求。

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This system supports database image retrieval and local image retrieval and uses the features mentioned above and corresponding weight values as retrieval criteria.

该系统支持数据库图像检索和本地图像检索两种模式，利用上述各类图像特征及其权值作为检索条件。

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Nowadays, Bag-of-Visual-Words model is widely used in image retrieval. Combining BOW and inverted file which indexing database image set can greatly reduce the number of candidate image matching.

在图像检索领域，词袋模型被广泛应用，结合倒排文件索引方法索引和检索数据库图像能够大大减少匹配中的候选图像数目，实现更有效的响应。

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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

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In order to narrow the semantic gap, relevance feedback method is introduced into image retrieval.

为缩小语义鸿沟，人们引入了相关反馈技术。

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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。

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