共查询到19条相似文献，搜索用时 171 毫秒
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随着计算机硬件和软件的迅速发展,多媒体技术成为当今的热门技术,因特网上的多媒体信息资源越来越多.图像是因特网上最有价值的多媒体信息资源之一,对图像的检索成为越来越重要的问题.而有效快速的图像检索需要有效的图像索引,本文所讨论的图像索引是图像标题索引. 相似文献
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基于内容的多媒体检索技术在数字档案馆中的应用 总被引：3，自引：0，他引：3
介绍了基于内容的多媒体检索的特点和几种常用的基于内容的多媒体索引技术，阐述了基于内容的多媒体检索技术在数字档案馆图像信息、录像视频等多媒体档案检索系统中的应用。 相似文献
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图像检索系统中关键技术 总被引：2，自引：0，他引：2
图像检索系统主要可分成基于文本和基于内容的两大系统。文本本身就可以说明所要讲的内容，检索技术相对容易。而图像包括视觉特征与语义特征，关键技术涉及存储技术、索引技术、检索技术、视频信息的处理技术等。 相似文献
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WxImageSearch(WIS)是一个公开发布的图像检索引擎,采用了新的图像检索方法,并对图像中的文字提供自动索引,用户可以输入几个关键字就能够搜索相应图像,当前WIS已经索引了超过500万张以文字内容为主的图像文件,并能够提供针对此类图像的准确检索。 相似文献
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基于内容的图像信息检索综述 总被引：13，自引：0，他引：13
基于内容的图像检索技术，即从大量的静止或活动视频图像库中检索包含目标物体的图像（或视频片段），在高度信息化的今天，已成为内容图像库中图像信息组织和管理不可缺少的技术，本文介绍了基于内容检索技术的进展，并对其主要方法如基于颜色、形状、纹理等静止图像检索技术以及视频检索技术进行了讨论。 相似文献
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图像信息资源检索技术的进展研究 总被引：3，自引：0，他引：3
图像信息的急剧增长，使得图像检索技术也获得迅速发展。本文首先概述了图像检索技术由TBIR到基于内容的CBIR的发展历程，井阐述了图像检索发展的意义；然后，文章通过对几种典型的图像检索系统特点和结构的简析，阐述了图像检索技术在图像检索系统中的功能实现；最后，针对当前图像检索研究情况，讨论了图像检索技术的发展方向。 相似文献
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单汉字索引是中文全文检索索引技术中一个主要方法，此方法在索引的空问和检索的效率方面都存在不足。本文引入单元词索引，并分析试验数据，表明引入单元词索引后，索引的空间效率和检索的时间效率均有提高。 相似文献
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全文搜索引擎中索引词的自动抽取和检索模型技术 总被引：1，自引：0，他引：1
索引词的自动提取和检索模型是全文检索的关键技术。本文论述了索引词的自动提取和检索模型所使用的主要技术进行了论述。 相似文献
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《Information processing & management》2001,37(2):255-277
Does human intellectual indexing have a continuing role to play in the face of increasingly sophisticated automatic indexing techniques? In this two-part essay, a computer scientist and long-time TREC participant (Pérez-Carballo) and a practitioner and teacher of human cataloging and indexing (Anderson) pursue this question by reviewing the opinions and research of leading experts on both sides of this divide. We conclude that human analysis should be used on a much more selective basis, and we offer suggestions on how these two types indexing might be allocated to best advantage. Part I of the essay critiques the comparative research, then explores the nature of human analysis of messages or texts and efforts to formulate rules to make human practice more rigorous and predictable. We find that research comparing human versus automatic approaches has done little to change strongly held beliefs, in large part because many associated variables have not been isolated or controlled.Part II focuses on current methods in automatic indexing, its gradual adoption by major indexing and abstracting services, and ways for allocating human and machine approaches. Overall, we conclude that both approaches to indexing have been found to be effective by researchers and searchers, each with particular advantages and disadvantages. However, automatic indexing has the over-arching advantage of decreasing cost, as human indexing becomes ever more expensive. 相似文献
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《Information processing & management》2001,37(2):231-254
Does human intellectual indexing have a continuing role to play in the face of increasingly sophisticated automatic indexing techniques? In this two-part essay, a computer scientist and long-time TREC participant (Pérez-Carballo) and a practitioner and teacher of human cataloging and indexing (Anderson) pursue this question by reviewing the opinions and research of leading experts on both sides of this divide. We conclude that human analysis should be used on a much more selective basis, and we offer suggestions on how these two types of indexing might be allocated to best advantage. Part one of the essay critiques the comparative research, then explores the nature of human analysis of messages or texts and efforts to formulate rules to make human practice more rigorous and predictable. We find that research comparing human vs automatic approaches has done little to change strongly held beliefs, in large part because many associated variables have not been isolated or controlled.Part II focuses on current methods in automatic indexing, its gradual adoption by major indexing and abstracting services, and ways for allocating human and machine approaches. Overall, we conclude that both approaches to indexing have been found to be effective by researchers and searchers, each with particular advantages and disadvantages. However automatic indexing has the over-arching advantage of decreasing cost, as human indexing becomes ever more expensive. 相似文献
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新型图书馆环境下的图书文献标引与著录 总被引：2，自引：0，他引：2
图书文献的标引和著录历来是图书馆工作的核心部分。随着图书馆从传统型向现代新型的转变,文献标引著录的理念、内容和手段都发生了巨大的变化。本文深入讨论了新型图书馆环境下文献标引著录的原则,并总结出了一些在实际中行之有效的工作技巧。 相似文献
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The Defense Documentation Center (DDC), a field activity of the Defense Supply Agency, implemented an automated indexing procedure in October 1973. This Machine-Aided Indexing (MAI) System [1] had been under development since 1969. The following is a report of several comparisons designed to measure the retrieval effectiveness of MAI and manual indexing procedures under normal operational conditions.Several definitions are required in order to clarify the MAI process as it pertains to these investigations. The MAI routines scan unedited text in the form of titles and abstracts. The output of these routines is called Candidate Index Terms. These word strings are matched by computer against an internal file of manually screened and cross-referenced terms called a Natural Language Data Base (NLDB). The NLDB differs from a standard thesaurus in that there is no related term category. Word strings which match the NLDB are accepted as valid MAI output. The mismatches are manually screened for suitability. Those accepted are added to the NLDB. If now, the original set of Candidate Index Terms is matched against the updated NLDB, the matched output is unedited MAI. If both the unedited matches and mismatches are further structured in accession order and sent to technical analysts for review, the output of that process is called edited MAI.The tests were designed to (a) compare unedited MAI with manual indexing, holding the indexing language and the retrieval technique constant; (b) compare edited MAI with unedited MAI, holding both the indexing and the retrieval technique constant; and (c) compare two different retrieval techniques, called simple and complex, while holding the indexing constant. 相似文献
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The Defense Documentation Center (DDC), a field activity of the Defense Supply Agency, implemented an automated indexing procedure in October 1973. This Machine-Aided Indexing (MAI) System [1] had been under development since 1969. The following is a report of several comparisons designed to measure the retrieval effectiveness of MAI and manual indexing procedures under normal operational conditions.Several definitions are required in order to clarify the MAI process as it pertains to these investigations. The MAI routines scan unedited text in the form of titles and abstracts. The output of these routines is called Candidate Index Terms. These word strings are matched by computer against an internal file of manually screened and cross-referenced terms called a Natural Language Data Base (NLDB). The NLDB differs from a standard thesaurus in that there is no related term category. Word strings which match the NLDB are accepted as valid MAI output. The mismatches are manually screened for suitability. Those accepted are added to the NLDB. If now, the original set of Candidate Index Terms is matched against the updated NLDB, the matched output is unedited MAI. If both the unedited matches and mismatches are further structured in accession order and sent to technical analysts for review, the output of that process is called edited MAI.The tests were designed to (a) compare unedited MAI with manual indexing, holding the indexing language and the retrieval technique constant; (b) compare edited MAI with unedited MAI, holding both the indexing and the retrieval technique constant; and (c) compare two different retrieval techniques, called simple and complex, while holding the indexing constant. 相似文献
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Martin Dillon 《Information processing & management》1982,18(4):167-178
This paper describes a technique for automatic book indexing. The technique requires a dictionary of terms that are to appear in the index, along with all text strings that count as instances of the term. It also requires that the text be in a form suitable for processing by a text formatter. A program searches the text for each occurrence of a term or its associated strings and creates an entry to the index when either is found. The results of the experimental application to a portion of a book text are presented, including measures of precision and recall, with precision giving the ratio of terms correctly assigned in the automatic process to the total assigned, and recall giving the ratio of correct terms automatically assigned to the total number of term assignments according to a human standard. Results indicate that the technique can be applied successfully, especially for texts that employ a technical vocabulary and where there is a premium on indexing exhaustivity. 相似文献
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N. Vleduts-Stokolov 《Information processing & management》1982,18(6):313-321
The paper describes a technique developed as automatic support to subject heading indexing at BIOSIS. The technique is based on the use of a formalized language for semantic representation of biological texts and subject headings—the language of Concept Primitives. The structure of the language is discussed as well as the structure of the Semantic Vocabulary, in which natural language words from biological texts are described by Concept Primitives. The Semantic Vocabulary is being constructed. Approximately 8,000 entries corresponding to high frequency significant words have been compiled, comprising at least three-quarters of the final number. Results of experiments checking the approach are given, and journal/subject heading and author/subject heading correlation data are analyzed to be used as a supporting technique. 相似文献
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Christian Jacquemin Batrice Daille Jean Royaut Xavier Polanco 《Information processing & management》2002,38(6)
This article presents the human evaluation of ILIAD, a program for machine-aided indexing (MAI). It consists of two language engineering modules and is designed to assist expert librarians in computer-aided indexing and document analysis. Our aim is the expert evaluation of automatic multi-word term indexing. Evaluation is performed by documentary engineers. Cataloging and indexing are their principal tasks. They also have a good scientific knowledge of the domain to which the indexed documents belong.We first present the ILIAD program and the two systems submitted to this evaluation, the methodology (protocol) adopted, the differences between the protocol and the implementation, and the results of these evaluations. Human evaluation is divided into three parts: firstly the evaluation of controlled indexing, then free indexing and finally term variant extraction performed during controlled indexing. Finally, we analyze the relevance of this evaluation by calculating the agreement frequency and the Kappa coefficient and propose some future developments. 相似文献
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A variety of abstract automatic indexing models have been developed in recent times in an effort to produce indexing methods that are both effective and usable in practice. Among these are the term discrimination model and the term precision system. These two indexing systems are briefly described and experimental evidence is cited showing that a combination of both theories produces better retrieval performance than either one alone. Appropriate conclusions are reached concerning viable automatic indexing procedures usable in practice. 相似文献