共查询到19条相似文献，搜索用时 718 毫秒
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数字图书馆多媒体信息检索技术及发展 总被引：4，自引：0，他引：4
讨论了数字图书馆多媒体信息检索中基于内容的文本、图像、音频、视频检索技术，介绍了信息检索的研究方向一智能检索和数据挖掘技术。 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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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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本文通过对现有基于内容图像标引及检索技术的简要介绍，提出应在现有系统中增加图像的高层语义概念描述，以更接近于人的视觉效果。同时提出一种基于内容的图像标引与检索系统结构，能自适应的在图像语义库中添加较为成功的语义表述。 相似文献
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针对网络邮票图像的特点,提出邮票领域本体构建方法。根据网络邮票图像的视觉特征和描述文本．利用本体描述其语义特征,通过自动图像标注技术构建邮票图像本体库,并构建网络邮票图像的语义检索系统。实验表明,该系统解决了网络图像基于关键字检索和基于内容检索中的语义缺失问题,具有较高的图像检索准确率。 相似文献
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基于内容的视频检索关键技术研究 总被引：2，自引：1，他引：2
主要讨论基于内容的视频检索技术研究中一些关键问题：镜头分割，关键帧的提取，视频检索，相关性反馈等。展望了视频检索技术的发展前景。 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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Avi Arampatzis Konstantinos Zagoris Savvas A. Chatzichristofis 《Information processing & management》2013
Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. Moreover, CBIR typically ranks the whole collection, which is inefficient for large databases. We experiment with a method for image retrieval from multimedia databases, which improves both the effectiveness and efficiency of traditional CBIR by exploring secondary media. We perform retrieval in a two-stage fashion: first rank by a secondary medium, and then perform CBIR only on the top-K items. Thus, effectiveness is improved by performing CBIR on a ‘better’ subset. Using a relatively ‘cheap’ first stage, efficiency is also improved via the fewer CBIR operations performed. Our main novelty is that K is dynamic, i.e. estimated per query to optimize a predefined effectiveness measure. We show that our dynamic two-stage method can be significantly more effective and robust than similar setups with static thresholds previously proposed. In additional experiments using local feature derivatives in the visual stage instead of global, such as the emerging visual codebook approach, we find that two-stage does not work very well. We attribute the weaker performance of the visual codebook to the enhanced visual diversity produced by the textual stage which diminishes codebook’s advantage over global features. Furthermore, we compare dynamic two-stage retrieval to traditional score-based fusion of results retrieved visually and textually. We find that fusion is also significantly more effective than single-medium baselines. Although, there is no clear winner between two-stage and fusion, the methods exhibit different robustness features; nevertheless, two-stage retrieval provides efficiency benefits over fusion. 相似文献
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M.T. Martín-Valdivia M.C. Díaz-GalianoA. Montejo-Raez L.A. Ureña-López 《Information processing & management》2008
Nowadays, access to information requires managing multimedia databases effectively, and so, multi-modal retrieval techniques (particularly images retrieval) have become an active research direction. In the past few years, a lot of content-based image retrieval (CBIR) systems have been developed. However, despite the progress achieved in the CBIR, the retrieval accuracy of current systems is still limited and often worse than only textual information retrieval systems. In this paper, we propose to combine content-based and text-based approaches to multi-modal retrieval in order to achieve better results and overcome the lacks of these techniques when they are taken separately. For this purpose, we use a medical collection that includes both images and non-structured text. We retrieve images from a CBIR system and textual information through a traditional information retrieval system. Then, we combine the results obtained from both systems in order to improve the final performance. Furthermore, we use the information gain (IG) measure to reduce and improve the textual information included in multi-modal information retrieval systems. We have carried out several experiments that combine this reduction technique with a visual and textual information merger. The results obtained are highly promising and show the profit obtained when textual information is managed to improve conventional multi-modal systems. 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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图像检索为数字图书馆的发展提供了技术支持,图书馆应重视数字化发展以提升服务质量。本文提出一种数字图书馆图像资源检索框架,并对系统的实现过程做了详细的分析。同时,在提取图像特征时提出了一种基于非下采样的Contourlet变换图像检索算法（NSCT）,能够在大量图像数据中挖掘有效的特征信息。该算法首先对图像进行多尺度、多方向分解,然后计算低频和高频中不同方向的子带系数的标准差和均值作为图像的纹理特征。实验结果显示,本文提出的图像检索框架具有可行性,能够为用户提供更优质的搜索服务,并且与同类特征提取算法进行比较,该算法具有良好的检索性能和较高的查准率、查全率。 相似文献
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连接基于内容图像检索技术中的语义鸿沟 总被引：3，自引：0，他引：3
论述在基于内容的图像检索系统中普遍存在的“语义鸿沟”问题，从图像特征信息层次上阐明了它的实质和产生根源，并从语义信息获取层次上表述此问题的解决途径。 相似文献