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   video information retrieval 的翻译结果: 查询用时:0.007秒
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video information retrieval
相关语句
  视频信息检索
     Development & Application of Video Information Retrieval Technologies
     视频信息检索技术的发展及应用
短句来源
     Motion Features Based Video Information Retrieval Techniques: A Review
     基于运动特征的视频信息检索综述
短句来源
     Brief analysis based on content video information retrieval technology
     浅析基于内容的视频信息检索技术
短句来源
     In the past, people have done much research on video database, video analysis and information retrieval, but there lacks complete and standardized description of video data, and video information retrieval method based on the standardized description.
     虽然过去开展了大量的视频数据库、视频分析和信息检索的研究,但是缺乏对视频数据进行完整的、规范性的描述,以及建立在这些规范描述之上的视频信息检索方法。
短句来源
     This paper expounds the content- based information retrieving techniques (including the text informationretrieval,graphical information retrieval,audio information retrieval,and video information retrieval),and describes thefactors evaluatingthe content- based information retrievingsystem.
     阐述了基于内容的信息检索技术(包括文本信息检索、图像信息检索、音频信息检索、视频信息检索),简述了评价基于内容的信息检索系统的因素。
短句来源
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  “video information retrieval”译为未确定词的双语例句
     User strategy is an important issue in video information retrieval.
     用户策略研究是检索领域需要考虑的重要问题之一。
短句来源
  相似匹配句对
     Information
     信息平台
短句来源
     Information
     信息精选
短句来源
     Information Hiding for Digital Video
     基于视频的信息隐藏技术
短句来源
     Visual Information Organization & Video Database
     可视化信息组织与视频数据库
短句来源
     Video Retrieval Based on the Global Motion Information
     基于全局运动信息的视频检索技术
短句来源
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  video information retrieval
Until now, there has never been a large-scale, standardized evaluation of video information retrieval.
      
In 2001 the first video information retrieval evaluation was performed.
      
For efficient video information retrieval, video data has to be manipulated properly.
      
For the queries used in this evaluation, image matching and video OCR proved to be the deciding aspects of video information retrieval.
      


To improve library access for video information, Carnegie Mellon University's Informedia Digital Video Library uses automatic processing to derive descriptors for video. A new extension to the video processing extracts geographic references from these descriptors. The operational library interface shows the geographic entities addressed in a given story, highlighting the regions discussed in the video through a map display synchronized with the video playback. The article expatiates on the Library's accessing...

To improve library access for video information, Carnegie Mellon University's Informedia Digital Video Library uses automatic processing to derive descriptors for video. A new extension to the video processing extracts geographic references from these descriptors. The operational library interface shows the geographic entities addressed in a given story, highlighting the regions discussed in the video through a map display synchronized with the video playback. The article expatiates on the Library's accessing video through spatial queries, map representation of a video segment and future of video information retrieval.

为了提高视频信息的检索效果,美国卡内基·梅隆大学视频数字图书馆对录像制品进行自动编码处理,并从中提取有关信息生成地点附注。在该检索界面中,可以将特定事件与其发生地建立关联,实现从事件、时间到地点的论题检索,或从地点入手检索视频信息的空间查询方法。本文揭示了录像片段在地图中的表现,展望了视频信息检索的未来。

With the establishment of video compression standards and the development of computer software, hardware and network technologies, content-based video information retrieval has become a new research topic since 1990s. Motion features based video information retrieval plays an important role in content-based video information retrieval. In this paper,we present a survey on motion features based video information retrieval techniques.

随着各种视频压缩标准的制定、计算机软硬件与网络技术的发展,基于内容的视频信息检索从20世纪90年代开始,逐步成为研究热点,其中基于运动特征的视频信息检索则是一个重要的研究分支。本文从运动信息的提取、运劝特征的表示和基于运动特征的检索算法这三个方面回顾基于运动特征的视频信息检索技术的研究进展。

To provide effective video browse, search and retrieval ability, video content should be summarized with compact but proper representation. Key frame is a simple effective form of summarizing a long video sequence. And key frame extraction has been recognized as one of the important research issues in video information retrieval. A key frame extraction algorithm based on kernel clustering is proposed in this paper. This method extracts the character of video, and maps the character in the original...

To provide effective video browse, search and retrieval ability, video content should be summarized with compact but proper representation. Key frame is a simple effective form of summarizing a long video sequence. And key frame extraction has been recognized as one of the important research issues in video information retrieval. A key frame extraction algorithm based on kernel clustering is proposed in this paper. This method extracts the character of video, and maps the character in the original space to a high-dimensional feature space which we can perform clustering efficiently. We can extract a key frame from each cluster. Computer simulations show this algorithm can give a good representation of video content and make video retrieval much easier.

为了在视频数据库中提供有效的视频检索和浏览功能,必须用简明的方式表示视频的内容。关键帧是对视频镜头的简洁表示,关键帧提取已成为视频检索的一个重要研究方向。文中提出了一种基于核聚类的视频关键帧提取方法,它通过对视频提取颜色特征,并将这些特征作为样本映射到高维特征空间之后,在特征空间中进行聚类,使原来没有显现的特征突现出来,自动将内容相似的样本归为同类,每一类可取一个样本代表其内容,这样的样本即为关键帧。实验结果表明这种方法可以较好地概括视频内容。

 
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