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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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针对传统的基于文本关键字的图像检索方法已经不能满足对大型医学数据库检索的需要的问题,本文提出了一种基于高维特征检索智能算法的图像检索技术。该算法使用高维向量设计基于内容的图像检索,建立训练样本集,根据样本集的距离设置遗传算法的适应度函数,而后遗传迭代出最优向量组合,进行测试集的匹配和检索。算法仿真结果表明,本文提出的基于高维特征检索智能算法的图像检索技术在检索精度上比传统方法高。 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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基于XML的多媒体信息检索 总被引:1,自引:0,他引:1
因特网上的多媒体数量激增使图像等多媒体信息的检索成为了现在的研究热点。目前在图像检索方面主要采取了两种方法,即基于文本的图像检索(Text Based Information Retrieval,TBIR)和基于内容的图像检索(ContentBased Information Retrieval,CBIR),但两种方法分别使用并不能达到理想的检索结果。本文介绍了基于XML的图像检索系统的系统结构和实现框架,结合XML文档详细介绍了国内外有关文本与内容结合的研究方法。 相似文献
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概述了基于文本的图像检索和基于内容的图像检索关键技术,阐述了基于这两种图像检索技术下的不同的检索途径和检索策略,并从用户的角度对二者做了比较研究。 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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给出了基于DCT压缩域特征点的快速图像检索方法,该方法直接利用少量DCT非零系数快速计算图像特征点,不需要完全解压缩,大大降低了计算复杂度,并且具有较强的鲁棒性.实验结果表明,基于特征点提取的图像特征表征能力强,适于图像检索. 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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基于颜色/形状直方图的图像检索方法 总被引:1,自引:0,他引:1
Content-based retrieval technology is widely used in multimedia databases.Some image databases use the color of image as the main retrieving content feature.Shape feature is also used to query image, such as moment variant,rotating angle, etc. In this article, a new approach is presented to retrieve image using the color and shape histogram in-formation. The color/shape-based retrieval technology has the advantages of accelerating the retrieving speed and resisting the image noise. 相似文献
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Traditional content based image retrieval attempts to retrieve images using syntactic features for a query image. Annotated image banks and Google allow the use of text to retrieve images. In this paper, we studied the task of using the content of an image to retrieve information in general. We describe the significance of object identification in an information retrieval paradigm that uses image set as intermediate means in indexing and matching. We also describe a unique Singapore Tourist Object Identification Collection with associated queries and relevance judgments for evaluating the new task and the need for efficient image matching using simple image features. We present comprehensive experimental evaluation on the effects of feature dimensions, context, spatial weightings, coverage of image indexes, and query devices on task performance. Lastly we describe the current system developed to support mobile image-based tourist information retrieval. 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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设计了一个基于段落检索和段落内容关系分析的知识化检索系统,分析了系统数据流,介绍了系统功能框架,包括段落检索和段落内容关系分析等核心模块,重点解决了段落鉴别、段落关系分析方法等问题。 相似文献
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在网络环境下,面对海量的图像信息资源、多种的图像检索途径和动态的网络环境,学习者的信息检索行为发生了深刻变化。当前大学生是获取图像信息的主要群体之一。以大学生为例,调查当前网络环境下的图像信息检索行为的情况,在此基础上提出适合我国实际情况的图像信息检索行为的优化策略,促使学习者积极地运用图像媒介,更好地完善图像知识、参与社会活动和了解现实世界。 相似文献