共查询到18条相似文献，搜索用时 109 毫秒
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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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综合运用基于文本与基于内容技术检索Web图像 总被引：1，自引：0，他引：1
本文介绍了基于文本和基于内容的图像检索技术，并归纳分析了Web图像的特点，指出综合运用文本和内容信息共同检索Web图像，最后对建立Web图像搜索引擎提出了建议。 相似文献
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进入信息时代,信息技术与互联网得到迅猛发展。信息资源已实现从文字到图片到视频的转变与普及。相对于文本与图像,视频所涵盖的内容更加丰富,表达信息更为直接。本研究从用户信息行为领域入手,立足于国内外研究者涉足较浅的视频检索领域,通过调查大学生群体对网络视频的检索与浏览行为的相关内容,分析该群体对网络视频检索与浏览行为的相关原因进行研究。 相似文献
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网络环境下的信息检索技术 总被引：10，自引：1，他引：10
讨论了网络环境下数字图书馆信息检索中基于内容的文本、图形图像、音频、视频检索技术，介绍了信息检索的研究方向-智能检索和数据挖掘技术。 相似文献
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随着图像检索技术近几年来的快速发展，基于内容图像检索和基于文本图像检索两种技术的不和谐现象越来越明显；两者各自所对应的元数据集之间很难兼容；基于内容图像检索和图像元数据联系相对薄弱。本文正是针对这样一种不协调的情况，从用户对图像检索的需求出发，以图像元数据标准为平台，对基于内容图像检索和基于文本图像检索的融合问题做一探讨，这有利于解决图像检索中存在的有关兼容问题。 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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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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基于内容的图像检索方法 总被引：4，自引：0，他引：4
阐述了基于内容的图像检索(CBIR)的原理，特点。对于该技术与传统的基于文本的图像检索方法作了比较，介绍了几种基于内容的图像检索的方法，回顾了基于内容的图像检索研究以及基于内容的检索方法中有待研究的问题。 相似文献
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As an information medium, video offers many possible retrieval and browsing modalities, far more than text, image or audio. Some of these, like searching the text of the spoken dialogue, are well developed, others like keyframe browsing tools are in their infancy, and others not yet technically achievable. For those modalities for browsing and retrieval which we cannot yet achieve we can only speculate as to how useful they will actually be, but we do not know for sure. In our work we have created a system to support multiple modalities for video browsing and retrieval including text search through the spoken dialogue, image matching against shot keyframes and object matching against segmented video objects. For the last of these, automatic segmentation and tracking of video objects is a computationally demanding problem which is not yet solved for generic natural video material, and when it is then it is expected to open up possibilities for user interaction with objects in video, including searching and browsing. In this paper we achieve object segmentation by working in a closed domain of animated cartoons. We describe an interactive user experiment on a medium-sized corpus of video where we were able to measure users’ use of video objects versus other modes of retrieval during multiple-iteration searching. Results of this experiment show that although object searching is used far less than text searching in the first iteration of a user’s search it is a popular and useful search type once an initial set of relevant shots have been found. 相似文献
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文章详细阐述了目前广播电视传统媒体上广告播出存在的一些问题,从技术层面分析广播电视广告监管的思路,并提出广告监管技术系统的建设方案。通过基于重复视频片段识别技术、视频片段检索技术、视频摘要生成技术等视频处理技术,实现对广播电视广告的自动识别、检索、概览,大大提高了系统效率。 相似文献
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The problem of content-based video retrieval continues to pose a challenge to the research community, the performance of video retrieval systems being low due to the semantic gap. In this paper we consider whether taking advantage of context can aid the video retrieval process by making the prediction of relevance easier, i.e. if it is easier for a classification system to predict the relevance of a video shot under a given context, then that context has potential in also improving retrieval, since the underlying features better differentiate relevant from non-relevant video shots. We use an operational definition of context, where datasets can be split into disjoint sub-collections which reflect a particular context. Contexts considered include task difficulty and user expertise, among others. In the classification process, four main types of features are used to represent video-shots: conventional low-level visual features representing physical properties of the video shots, behavioral features which are based on user interaction with the video shots, and two different bag-of-words features obtained from the Automatic Speech Recognition from the audio of the video. 相似文献
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In this paper, we present ViGOR (Video Grouping, Organisation and Recommendation), an exploratory video retrieval system. Exploratory video retrieval tasks are hampered by the lack of semantics associated to video and the overwhelming amount of video items stored in these types of collections (e.g. YouTube, MSN video, etc.). In order to help facilitate these exploratory video search tasks we present a system that utilises two complementary approaches: the first a new search paradigm that allows the semantic grouping of videos and the second the exploitation of past usage history in order to provide video recommendations. We present two types of recommendation techniques adapted to the grouping search paradigm: the first is a global recommendation, which couples the multi-faceted nature of explorative video retrieval tasks with the current user need of information in order to provide recommendations, and second is a local recommendation, which exploits the organisational features of ViGOR in order to provide more localised recommendations based on a specific aspect of the user task. Two user evaluations were carried out in order to (1) validate the new search paradigm provided by ViGOR, characterised by the grouping functionalities and (2) evaluate the usefulness of the proposed recommendation approaches when integrated into ViGOR. The results of our evaluations show (1) that the grouping, organisational and recommendation functionalities can result in an improvement in the users’ search performance without adversely impacting their perceptions of the system and (2) that both recommendation approaches are relevant to the users at different stages of their search, showing the importance of using multi-faceted recommendations for video retrieval systems and also illustrating the many uses of collaborative recommendations for exploratory video search tasks. 相似文献
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现有教师实践反思方式无法客观全面记录课堂场景,只能按照时间顺序浏览录像带,受教师主观因素影响较大。随着技术条件的不断成熟,可以构建以视频注释和检索为核心的视频案例支持系统,让所有教师随时对视频内容进行检索、自动播放视频注释片段、定制个性化主题学习,更好地促进教师实践反思,进而提升教师专业能力。 相似文献