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网络图像检索行为与心理研究 总被引:3,自引:3,他引:0
鉴于国内图像检索行为研究的缺乏,借助用户实验和行为观察技术,采集用户的网络图像检索过程,从检索入口选择、关键行为分布、行为状态变换等不同角度描述用户网络图像检索的行为和心理。研究发现:(1)行为特征上有四类典型的图像检索行为策略、两种行为倾向和五种高频行为模式;(2)用户心理特征上主要表现为定势心理、较少的认知负担以及检索变换的心理阈值等方面;(3)与一般网络信息检索行为相比,图像检索行为既具有共性,又有一些个性特征。图1。表3。参考文献26。 相似文献
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Hugo Zaragoza 《Information Retrieval》2002,5(2-3):271-274
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浅谈信息检索与信息检索技术 总被引:6,自引:0,他引:6
通过对传统检索技术与网上检索技术的比较,论述了信息检索和信息检索技术的发展状况、趋势(主要简述网络检索与网络检索技术、多媒体信息检索与多媒体信息检索关键技术等). 相似文献
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《The Reference Librarian》2013,54(25-26):617-629
Public libraries have added access to online intermediary searching and end-user systems, but have not based the decision to do so on in-depth study of needed skills, impact on staff and projected benefit to patrons. If quality online searching is to be provided, methods of staff selection and development need to be seriously considered. The role of the online searcher is defined, as are the qualities, skill and expertise necessary for the job. Guidelines for staff selection are listed under four categories: (1) education, (2) experience, (3) present level of knowledge/skill, (4) general reference ability, Three types of staff training programs are listed: (I) general orientation for all staff (2) training in the fundamentals of online searching, and 3) online searcher development and training. Content requirements !or each of these programs are provided. The need for well planned staff selection and development methods is acute if quality online search service is to be provided in public libraries. 相似文献
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利用语音识别进行信息检索 总被引:8,自引:1,他引:7
本文先简要介绍语音识别技术的主要思想 ,然后着重讨论利用该技术进行网上文字、图像、语音和音频信息检索并针对目前受语音识别技术水平所限而带来的问题提出解决方法。 相似文献
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跨语言信息检索进展研究 总被引:7,自引:1,他引:6
根据研究对象的变迁,国外关于跨语言信息检索的历程主要分为三个阶段。跨语言信息检索目前的主要解决方法是在单语言信息检索系统上增加一个语言转换机制。解决查询条件与查询文档集间的语言障碍有五种不同的技术路线。跨语言信息检索主要研究热点有翻译歧义研究、翻译资源构建、专有名词识别与音译研究等五个领域。 相似文献
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宋继伟 《中国科技资源导刊 (中国信息导报)》2006,(1):61-62
网格信息检索是信息检索和网格技术相融合的新领域。与搜索引擎相比,网格信息检索将搜索任务分配给网格上相关的计算资源,极大地提升了检索的速度,既不需要网络蜘蛛搜集数据,也不需要维持一个庞大的数据库。一、网格信息检索的架构网格信息检索(GIR)将网格计算应用于信息检索中,为分布式信 相似文献
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Information Retrieval from Documents: A Survey 总被引:4,自引:0,他引:4
Given the phenomenal growth in the variety and quantity of data available to users through electronic media, there is a great demand for efficient and effective ways to organize and search through all this information. Besides speech, our principal means of communication is through visual media, and in particular, through documents. In this paper, we provide an update on Doermann's comprehensive survey (1998) of research results in the broad area of document-based information retrieval. The scope of this survey is also somewhat broader, and there is a greater emphasis on relating document image analysis methods to conventional IR methods.Documents are available in a wide variety of formats. Technical papers are often available as ASCII files of clean, correct, text. Other documents may only be available as hardcopies. These documents have to be scanned and stored as images so that they may be processed by a computer. The textual content of these documents may also be extracted and recognized using OCR methods. Our survey covers the broad spectrum of methods that are required to handle different formats like text and images. The core of the paper focuses on methods that manipulate document images directly, and perform various information processing tasks such as retrieval, categorization, and summarization, without attempting to completely recognize the textual content of the document. We start, however, with a brief overview of traditional IR techniques that operate on clean text. We also discuss research dealing with text that is generated by running OCR on document images. Finally, we also briefly touch on the related problem of content-based image retrieval. 相似文献
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This paper investigates the impact of three approaches to XML retrieval: using Zettair, a full-text information retrieval system; using eXist, a native XML database; and using a hybrid system that takes full article answers from Zettair and uses eXist to extract elements from those articles. For the content-only topics, we undertake a preliminary analysis of the INEX 2003 relevance assessments in order to identify the types of highly relevant document components. Further analysis identifies two complementary sub-cases of relevance assessments (General and Specific) and two categories of topics (Broad and Narrow). We develop a novel retrieval module that for a content-only topic utilises the information from the resulting answer list of a native XML database and dynamically determines the preferable units of retrieval, which we call Coherent Retrieval Elements. The results of our experiments show that—when each of the three systems is evaluated against different retrieval scenarios (such as different cases of relevance assessments, different topic categories and different choices of evaluation metrics)—the XML retrieval systems exhibit varying behaviour and the best performance can be reached for different values of the retrieval parameters. In the case of INEX 2003 relevance assessments for the content-only topics, our newly developed hybrid XML retrieval system is substantially more effective than either Zettair or eXist, and yields a robust and a very effective XML retrieval. 相似文献
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在信息检索背景下,梳理情境的类型,归纳情境信息获取的方式,分析情境感知信息检索的主要实现途径,研究基于情境感知的信息检索相比于基于系统的信息检索所具有的优势,评价当前研究态势与今后发展趋势,指出基于情境感知的信息检索是信息检索重要发展方向之一。 相似文献
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基于内容的多媒体信息检索 总被引:9,自引:0,他引:9
黄丽娟 《现代图书情报技术》2000,16(5):40-43
对基于内容的多媒体检索的有关概念、方法进行了介绍。对有关的特点、关键技术、系统模型和不同类型的多媒体信息检索进行了分析。 相似文献
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