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- Liu F,Zhuang YT,Wu F,Pan YH.3D motion retrieval based on example.Journal of Computer-Aided Design &Computer Graphics,2003,15(10):1275-1280 (in Chinese with English abstract). 刘丰;庄越挺;吴飞;潘云鹤.;基于例子的三维运动检索
- Content based image retrieval (CBIR) is just one of key technologies for such a problem. 基于内容的图象检索(Content Based Image Retrieval, CBIR)技术就是解决这一问题的关键技术之一。
- One related key issue in Content Based Image Retrieval (CBIR) is the representation of image visual content. 在基于内容的图像检索中,一个关键的问题是图像视觉内容的表述。
- Experiment shows that the proposed VK-LLE method can achieve higher precision rate in content based image retrieval problem. 实验结果表明,提出的可变k近邻LLE数据降维方法在基于内容的图像检索中取得了较高的检索准确率。
- Feature extraction is the foundation of audio classification,while audio classification is a key of content based audio retrieval. 音频特征提取是音频分类的基础,而音频分类又是基于内容的音频检索的关键。
- Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval. 摘要音频特征提取是音频分类的基础,而音频分类又是基于内容的音频检索的关键。
- They can be used to compute image based motion blur with the compositing nodes. 他们能被使用用合成节点计算以图像为基础的运动模糊。
- Abstract: The association analysis of data mining was introduced into the content based image retrieval (CBIR), and a novel CBIR method was put forward. 摘 要: 将数据挖掘中的灰关联分析引入基于内容的图像检索中,提出一种基于灰关联度的回转窑火焰图像的检索方法。
- Content Based Image Retrieval(CBIR)is an extension to the traditional information retrieval.It adopts visual content rather than keyword to judge image similarity. 基于内容的图像检索(CBIR)是对传统信息检索领域的扩展.;它采用图像视觉内容的相似性判别进行查询
- Content Based image retrieval (CBIR),which is the mixture of image understanding and multimedia, is becoming a key technique in next generation large scale intelligent multimedia database. 0引言信息时代的到来使得人们越来越多地接触到大量的图象信息,有效地组织、管理和检索大规模的图象数据库成为迫切需要解决的问题。
- Based on the kinematics of car-like vehicle, an arc region decomposition based motion plan strategy is adopted to solve the problems like safety and real-time requirements. 摘要该文根据轮式车的运动学特点,针对机器人导航中安全性问题以及算法实时性要求,提出了基于圆弧的区域分解方法。
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- We further propose a combined method which combines our camera zooming motion compensation algorithm with traditional block based motion estimation method. 我们还提出了一个结合了镜头拉近推远移动补偿演算法,以及传统区块导向移动估算演算法的综合演算法。
- Content based image retrieval (CBIR) is one of the fields of Multimedia information retrieval.The difficulty of CBIR is to properly express the contents of the images. 基于内容的图像信息检索是多媒体信息检索领域中重要的组成部分,对图像的内容进行准确快速的描述一直都是图像检索技术中研究的重点和难点。
- In addition, a multi-level fast NCC-based image matching algorithm and a new hybrid approach for block based motion estimation based on adaptively using the NCC and SAD measures are proposed. 接下来,我们提出了一个多层式快速基于NCC的影像比对方法以及一个新型可调式地结合了SAD与NCC评估方法的混合式运动估计方法于视讯压缩上。
- Content based color cell image retrieval 基于内容的彩色细胞图像检索
- Furthermore, global motion is disassembled into basis motion, and the adaptive system can choose optimal algorithm according to limitation of operation burden. 而且本算法将复杂的全域运动分解为各基本运动,使系统可以根据运算量的限制自适应地选择最优的运动估计算法。
- No additional configuration for collocation is required if using content based routing. 如果使用基于内容的路由,则并置不需要额外的配置。
- Through the problem analysis, the article constructs a PKI module and design the content based on needs. 通过在“新会市电力工业局数字电力系统”课题中遇到的问题,架构了一个公钥基础设施模型,根据功能需要具体设计了系统的组成。
- This article specially discusses this content based en seme scattered reliable historical materials. 本文依据一些散见的可靠史料专门论述这一内容。