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   video retrieval 在 自动化技术 分类中 的翻译结果: 查询用时:0.171秒
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video retrieval
相关语句
  视频检索
    5. Some of those proposed shot detection methods are realized and applied to content-based video retrieval system; experiments prove that they are effective.
    5.把镜头探测算法实现应用到了基于内容视频检索系统中,做了大量的实验,取得了良好的效果。
短句来源
    Video retrieval is just right for the demand.
    视频检索正好适应了这种需求。
短句来源
    Content-based video retrieval is developed and becomes the issue of multimedia research.
    基于内容的视频检索技术正是在这种情况下提出的,同时,也逐渐成为目前多媒体技术中的研究热点。
短句来源
    Shot detection is the most fundamental operation and very important step in content-based video retrieval. Shot detection is a technique that divides video data into physical units, generally called shots.
    镜头检测是视频检索中最基本也是最重要的一项内容,它的基本任务是根据相邻帧的相关性将视频序列分割成相对独立的基本单元——镜头,其精度直接影响到检索的成败与精度,能准确、快速检测出镜头对视频检索具有重要的影响。
短句来源
    Shot detection is the fundamental operation in content-based video retrieval, It realized a shot detection system in MPEG compressed video based on discussing the algorithm of abrupt and gradual shot detection.
    镜头检测是实现基于内容的视频检索的首要问题,文中在讨论镜头切变与渐变检测算法的基础上,实现了基于MEPG视频的镜头检测系统。
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  “video retrieval”译为未确定词的双语例句
    The Application of Wavelet-neural Network in Detection of Digital Video Text for Content-based Video Retrieval
    小波-神经网络在视频文本自动检测中的应用
短句来源
    (3)the contents for interaction may be performed by techniques of content based text or image/video retrieval;
    (3)具有Internet数据仓库和基于内容检索的知识处理能力 ,作为人机交互内容 ;
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  video retrieval
We have found that successful content-based video data-management systems depend on three most important components: key-segments extraction, content descriptions and video retrieval.
      
In this paper we propose a system to extract object-based and global features from compressed MPEG video using the motion vector information for video retrieval.
      
Compressed domain video retrieval using object and global motion descriptors
      
Video retrieval of near-duplicates using κ-nearest neighbor retrieval of spatio-temporal descriptors
      
In this paper, an object-based video retrieval methodology for search in large, heterogeneous video collections is presented.
      
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Text in video can provide important semantic information. A hybrid wavelet-neural network model is pro-posed in this paper, which can be used to automatically detect text appearing in a digital video thus in favor of content-based video retrieval. Experimental results show this model works robustly.

数字视频数据中的文本能提供重要的语义信息,用具有良好时频局部特性和变尺度特性的小波分析方法,提取图像中的尺度一空域特征,经神经网络分类器进行分类后,自动检测视频数据中的文本信息,为基于内容的视频检索提供索引.实验表明该检测方法效果良好。

Human-computer interaction is a complex of technical science,which investigates the interaction and communications through mutual understanding between human and computers to solve problems of information managements,services and processing in maximized degree for human needs.This paper proposed a conceptual model of new generation ( fourth generation) human-computer interaction systems and their four major features:(1)the ways for interaction are through multimodel perceptions( hearing,vision,gestures and pen...

Human-computer interaction is a complex of technical science,which investigates the interaction and communications through mutual understanding between human and computers to solve problems of information managements,services and processing in maximized degree for human needs.This paper proposed a conceptual model of new generation ( fourth generation) human-computer interaction systems and their four major features:(1)the ways for interaction are through multimodel perceptions( hearing,vision,gestures and pen writing);(2)the interface for interaction is through the intellegent agents,who may understand user's requirements and implement all required processing by machine through auditory/visual diologues;(3)the contents for interaction may be performed by techniques of content based text or image/video retrieval;(4)the display environment of interaction may be realized in 2-D or 3D through virtual browsing the 3-D scene of computer graphics reconstructed by 3-D computer vision technique.In this paper the possible solutions and algorithms to implement these four major features are given and the platform of the 4th human computer interative system is also described.

人机交互是研究人与计算机之间通过相互理解的交流与通信 ,在最大程度上为人们完成信息管理 ,服务和处理等功能的一门技术科学 .本文给出新一代 (第四代 )人机交互的概念框架和其四个标志性特征 ,即 :(1)具有多模感知 (听觉 ,视觉 ,手势 ,笔势等 )功能的人机交互方式 ;(2 )可进行基于Agent的听、视觉对话 ,作为人机交互的界面 ;(3)具有Internet数据仓库和基于内容检索的知识处理能力 ,作为人机交互内容 ;(4 )可以在二维或虚拟的三维环境中实现人机通信 ,作为人机交互的环境 .文中给出了解决和实现该四大特征的关键技术 ,描述了实验系统平台的全面功能 ,可以为同类研究人员作参考

Shot detection is the fundamental operation in content-based video retrieval, It realized a shot detection system in MPEG compressed video based on discussing the algorithm of abrupt and gradual shot detection. The sliding window algorithm is chosen to detect both abrupt and gradual shot in system, and a fast abrupt shot detection algorithm using direct feature extracted from MPEG-1 compressed video is also adopted. The experiment results show the abrupt detection is excellent and the gradual...

Shot detection is the fundamental operation in content-based video retrieval, It realized a shot detection system in MPEG compressed video based on discussing the algorithm of abrupt and gradual shot detection. The sliding window algorithm is chosen to detect both abrupt and gradual shot in system, and a fast abrupt shot detection algorithm using direct feature extracted from MPEG-1 compressed video is also adopted. The experiment results show the abrupt detection is excellent and the gradual shot such as sliding, fade in and fade out, wipe etc. can also be detected. As DirectShow is introduced to deal with MPEG video, system is universal and has good interface. It can meet requires of content-based multimedia retrieval system.

镜头检测是实现基于内容的视频检索的首要问题,文中在讨论镜头切变与渐变检测算法的基础上,实现了基于MEPG视频的镜头检测系统。系统采用了“滑动”窗口法来实现镜头的切变与渐变的检测。同时,通过直接从MPEG- 1压缩视频流中提取信息,实现了在压缩域内的镜头检测。实验结果表明,系统对镜头切变的检测取得了良好的效果。同时,也可以对滑动、淡入淡出、擦除等渐变进行检测。系统采用了Direct show作为对视频的支持,具有良好的通用性及人机交互界面,满足了视频检索系统对界面的要求。

 
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