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   video retrieval system 的翻译结果: 查询用时:0.008秒
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video retrieval system
相关语句
  视频检索系统
     Research on Integrated Framework of Intelligent Video Retrieval System Under J2EE Architecture
     J2EE架构下智能视频检索系统集成框架研究
短句来源
     At last, it improves the IPTV system, and adds the content-based video retrieval system.
     最后,对已有的IPTV系统进行改进,增加基于内容的视频检索系统,实现检索系统部分功能。
短句来源
     Based on above requirements, this thesis makes research on them correspondingly, and then presents a video retrieval system model based on MPEG-7 which applies in IPTV system.
     基于以上需求,本文分别对MPEG-7标准和基于内容的视频检索及其在IPTV中的应用进行探索研究,在现有的MPEG-7标准和传统视频检索模型的基础上,提出了一个基于MPEG-7的视频检索系统模型,并将其应用到IPTV系统中。
短句来源
     Realization of a video retrieval system based on color information
     基于颜色信息的视频检索系统的实现
短句来源
     Study of Content-based News Video Retrieval System
     基于内容的新闻视频检索系统研究
短句来源
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  “video retrieval system”译为未确定词的双语例句
     3. Design a MPEG-7-based video retrieval system and implement its main function.
     3.设计了一个基于MPEG-7标准的视频描述生成和检索系统,并实现了其中的主要功能。
短句来源
     As a result the content-based video retrieval system emerges, as the times require.
     本文以MPEg-2视频为研究对象,基于内容的视频检索为出发点,提出了一种基于内容的视频数据模型,从几个层次上描述视频数据。
短句来源
     Analysis and Research on Content-based Video Retrieval System
     基于内容视频信息检索系统的分析研究
短句来源
     Realization of Content-Based Video Retrieval System for News
     视频新闻检索系统的实现
短句来源
     Analysis and Research on Content-based Video Retrieval System
     基于内容的视频分析与检索方法的研究
短句来源
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  相似匹配句对
     Modeling of the Retrieval of Video Streams
     视频回取过程的数学建模
短句来源
     RELEVANCE FEEDBACK OF VIDEO RETRIEVAL
     视频的检索反馈
短句来源
     Research in Content-Based Video Retrieval System
     基于内容的视频检索系统研究
短句来源
     A Motion-based Video Retrieval System
     一个基于运动的视频检索系统
短句来源
     Implementation of Content-based Retrieval System in Compressed-Video
     压缩视频基于内容检索系统的实现
短句来源
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  video retrieval system
The effectiveness of a video retrieval system largely depends on the choice of underlying text and image retrieval components.
      
Users of video retrieval system want to find video clips with query on the semantic content of the video.
      
The architecture of a content-based video retrieval system is presented in the fourth section.
      
The user interface of a prototype web-based video retrieval system that supports semantic visual feature browsing will be then illustrated.
      
Secondly, the study results also provide some suggestions on how to design a hybrid or combined video retrieval system.
      
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The similarity measure of two video clips is the key issue to video retrieval. In the development of video retrieval system, a new model of video similarity is proposed. Contrasting with existing algorithms, it presents many influencing factors, such as order factor, speed factor, interfere factor, etc, on the basis of human's subjective visual judgement. So this algorithm embodies the degree of similarity completely and systematically. On the other hand, it has resolution adaptation because it...

The similarity measure of two video clips is the key issue to video retrieval. In the development of video retrieval system, a new model of video similarity is proposed. Contrasting with existing algorithms, it presents many influencing factors, such as order factor, speed factor, interfere factor, etc, on the basis of human's subjective visual judgement. So this algorithm embodies the degree of similarity completely and systematically. On the other hand, it has resolution adaptation because it can be applied on every level of video structure. In the retrieval system, it can be used to process video query by example clip successfully. This paper introduces this algorithm in detail and presents experiment results at the end of the paper.

结合作者开发的系统 ,提出了一种新的视频相似度度量模型 ,详细地介绍了算法的实现 ,并得出了实验结果 .相对于已有的算法 ,它在考虑人们主观视觉判断的基础上 ,提出了许多影响相似度的因子 ,如顺序因子、速度因子、干扰因子等 .因而它全面、系统地体现了视频间的相似程度 .而且该算法具有粒度可适性 ,可用于不同层次的视频结构的比较 .在视频检索系统中 ,它可以广泛地应用于针对用户提交例子的查询中 .

Motion is an important clue to describe the content of a video sequence.This paper presents a global motion information based video retrieval system.In this system,video sequences have undergone a short term global motion analysis,which will accurately extract the bilinear motion model of the global camera motion.The extracted model parameters are used as motion features for retrieval,and the retrieval scheme is based on the feature point sequential match technique and the calculation...

Motion is an important clue to describe the content of a video sequence.This paper presents a global motion information based video retrieval system.In this system,video sequences have undergone a short term global motion analysis,which will accurately extract the bilinear motion model of the global camera motion.The extracted model parameters are used as motion features for retrieval,and the retrieval scheme is based on the feature point sequential match technique and the calculation of square sum of global motion vector distance.Experimental results show that in certain application domain,such as sports video,our retrieval scheme could achieve a near semantic content retrieval,and it provides new functionalities that other image based features cannot achieve.

运动信息是描述视频内容的一种重要信息 ,本文介绍了一个基于全局运动信息的视频检索系统 .在该系统中 ,我们通过对视频数据进行短时全局运动分析 ,较为精确地提取出了描述全局摄像机运动的双线性运动模型 ,并以该模型参数为运动特征 ,以特征点序列顺序匹配以及全局运动矢量距离平方和为基础 ,构造了一个视频检索方案 .实验结果表明 ,在特定的应用领域 ,如体育类视频中 ,我们的检索方案能够实现一定程度的语义内容检索 ,同时提供了采用其他图像特征所无法实现的检索功能

The main retrieval method of content based video retrieval system is query by example. If user submits a video as example, system returns a set of similar videos. But how to define whether two videos are similar is still a great problem. This paper puts forward a video similarity model to solve the difficulty. First, it advances the centroid feature vector of shot in order to reduce the storage of video database. Second, considering the latent factors existing in human's...

The main retrieval method of content based video retrieval system is query by example. If user submits a video as example, system returns a set of similar videos. But how to define whether two videos are similar is still a great problem. This paper puts forward a video similarity model to solve the difficulty. First, it advances the centroid feature vector of shot in order to reduce the storage of video database. Second, considering the latent factors existing in human's vision perception, it introduces a new comparison algorithm based on multi level of video structure, such as from shot's view and from the overall view. This different granularity of measurement provides great flexibility, which is reasonable in real world. The final retrieval result demonstrates the validity of algorithm.

基于内容的视频检索系统中 ,最常用的检索方式是例子视频查询 ,即用户提交一部视频 ,系统返回相似的一系列视频 .但是 ,怎样定义的两部视频是相似的 ,仍然是一个困难的问题 .文中介绍了一种新的方法以解决这一难点 .首先 ,提出了镜头质心特征向量的概念 ,减少了关键帧特征的存储量 .其次 ,利用人类视觉判断中所潜在的因子 ,提出了视频在镜头间相似度的衡量 ,以及总体上相似度的衡量的方法 ,为不同粒度上的衡量提供了很大的灵活性 ,在现实意义上也是合理的 .检索实验的结果证明了算法的有效性

 
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