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- Semantic Image Retrieval Technique Using Compressed-Domain Features 一种压缩域特征提取与语义图像检索技术
- The Latent Semantic Image Retrieval Based on Non-negative Matrix Factorization 基于非负矩阵分解的隐含语义图像检索
- A Method of Main-Region Extraction for Semantic Image Retrieve 一种面向图象语义的主要区域提取方法
- semantic image retrieval 语义图像检索
- Novel image retrieval algorithm based on BTC[J]. 引用该论文 赵珊;安志勇;周利华.
- A system of image retrieval based on semantic is introduced and the primary results of experiments show that it has higher precision rate in WWW image retrieval. 基于此方法,建立了一个基于语义的WWW图像检索系统。初步实验表明,该系统具有较高的图像检索凖确率。
- In order to narrow the semantic gap existing in content-based image retrieval (CBIR), a novel retrieval technology called auto-extended multi query examples (AMQE) is proposed. 摘要为了缩短基于内容图像检索存在的“语义鸿沟”,提出了一种自动扩展的多示例查询技术。
- The paper presents a new content-based image retrieval method. 摘要文中提出了一种新的基于多分辨率直方图的图像样本检索方法。
- The thesis is focused on content-based image retrieval (CBIR). 本论文的主要研究内容是基于内容的图像检索。
- Text data presented in images and video contains useful and important semantic information for semantic-based image retrieval system. 视频图像中的文本是从语义层次对视频图像内容进行描述的非常有效信息,文本检测为基于语义的图像检索提供了条件。
- This paper presents a method of medical images retrieval about sternums based on texture and shape features combining with semantic information. 文章根据胸片图像的特点,提出了一种结合图像纹理、形状和语义信息的胸片图像检索方法。
- Content-base image retrieval(CBIR) has become an important research. 基于内容的图像检索已经成为图像检索的一个重要研究方向。
- So the content-based image retrieval (CBIR) has been widely researched. 因此,基于内容的图像检索(Content-Based Image Retrieval, CBIR) 已成为解决图像检索问题的研究热点。
- This paper presented a method of medical images retrieval about sternums based on texture features combining with semantic information. 摘要提出一种结合图像分块纹理特征和语义信息的医学胸片图像检索方法。
- Dissertation: An Intelligent Agent Based Spoken Dialogue System for Content-based Image Retrieval. 毕业论文:基于智能体的计算机对话系统及其在基于内容的图像搜索中的应用。
- Content-Based Image Retrieval of Butterflies. National Taiwan University, Taipei, Taiwan. 蝴蝶影像内容检索。国立台湾大学资讯工程学研究所硕士论文,台北市。
- Content-based image retrieval (CBIR) is an advanced project in the recent research area of multimedia retrieval. 基于内容的图像检索 (CBIR)是多媒体检索研究的前沿课题 .
- An image retrieval method based on user selected region of interest was proposed. 摘要提出了一种基于用户选择感兴趣区域的图像检索方法。
- Experiments show that MFCM is applied to image retrieval is effective in exactness and real-time property. 实验表明该方法应用于图像检索,在准确性和实时性方面均能达到较好的效果。
- The sharp increase of image information makes image retrieval technology develop fast too. 摘要图像信息的急剧增长,使得图像检索技术也获得迅速发展。