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   video retrieval 在 电信技术 分类中 的翻译结果: 查询用时:0.009秒
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video retrieval
相关语句
  视频检索
    Key Technologies on Content Based Video Retrieval and Indexing
    基于内容的视频检索和浏览的关键技术
短句来源
    Content-Based Image and Video Retrieval
    基于内容的图像及视频检索
短句来源
    Research on Content-based News Video Retrieval Technology
    基于内容的新闻视频检索技术研究
短句来源
    Research in Content-based Soccer Video Retrieval and Automatic Editing System
    基于内容的足球视频检索与自动编辑系统研究
短句来源
    Thus researches have begun to study content-based video retrieval (CBVR). However, CBVR is far from successful in bridging the semantic gap between low level features and high level semantics of video.
    20世纪90年代开始的基于内容的视频检索CBVR(Content-based Video Retrieval)的研究,因尚未有效“填平”视频低层特征和高层抽象概念之间存在的“语义鸿沟”(Semantic Gap),使得目前CBVR还难以适用于普通用户。
短句来源
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  “video retrieval”译为未确定词的双语例句
    Using Similarity Sequence for Shot Organization in Video Retrieval
    相似顺序图用于视频镜头的组织
短句来源
    As the base of video query, news video retrieval is divided into structurized analysis and semantic exaction of video information.
    新闻视频索引是视频查询的基础,包含新闻视频信息的结构化分析和语义提取,其中结构化分析包括新闻条目分段、镜头分段和关键帧提取;
短句来源
    Review of Video Parsing Techniques for Contented Based Video Retrieval
    基于内容检索的视频处理技术
短句来源
    The idea and content of this paper are implementing automatic and semi-automatic video object segmentation via research work on key techniques and based on video object segmentation, building several applications such as video coding, video editing, video retrieval, video conference and video understanding, and give a prospect to the further research on this area.
    本文的研究思想和内容是通过对图像分割和视频跟踪等关键技术的研究,实现视频对象的自动分割和半自动分割,并在此基础上实现其在视频编码、编辑、检索,视频会议和视频理解等方面的应用。 并在最后对这一领域的发展方向和前景做了展望。
短句来源
    With an emphasis on the extraction ofmotion information and the representation of motion features, this thesis proposesa suit of solution to extract motion features for content based video retrieval.
    1. 本文将运动信息分为全局运动和局部运动两类。
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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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Shot organization is very important in content based video retrieval, but in most cases automatic shot organization methods fail to give satisfactory results, thus human involved interactive organization is required. In this paper, a new shot organization method called similarity sequence is proposed, which reorders the r frames of shot and makes similar r frame appear near each other in the generated sequence, thus provides an effective interactive organizing interface. To compare the performance...

Shot organization is very important in content based video retrieval, but in most cases automatic shot organization methods fail to give satisfactory results, thus human involved interactive organization is required. In this paper, a new shot organization method called similarity sequence is proposed, which reorders the r frames of shot and makes similar r frame appear near each other in the generated sequence, thus provides an effective interactive organizing interface. To compare the performance of different sequences, a distance measure called similarity distance is proposed, upon which a gene algorithm calculating similarity sequence is developed and applied to r frame sequence reordering in shot organization. Basic ideas and algorithm modules are given in detail, also with experimental results and analysis.

在对视频进行基于内容检索时,对由分割得到的镜头进行有效的组织是提高检索效率的一种重要手段.在绝大多数情况下,传统的自动组织方法不能给出令人满意的结果,而需要通过人机交互来进行组织.文章提出了相似顺序图的概念,即对镜头代表帧重新排序,使得感官上相近的代表帧在新序列中位置相近,以便于用户的交互组织.文章还提出了相似距离的概念以作为对序列中相近代表帧相似性的度量,并采用了改进的遗传算法来进行求解.文章阐述了相似顺序图、相似距离和求解采用的改进遗传算法的基本思想,并给出了实验结果和分析

Video segmentation will be the fundamental technique of the content based video retrieval service on the information highway in the future. This paper introduced several typical types of video segmentation methods at present and chiefly discussed full image based abrupt and gradual scene change detection.

视频分段技术是未来信息高速公路上基于内容视频检索服务的基本和关键技术.介绍了目前几类视频分段方法的基本思想,并主要讨论了基于全图象的视频突变和渐变分段方法.

The auto-detection of shot boundary is a necessary step for content-ba sed video retrieval Most scene change detection methods are based on non-compr e ssed video,but more and more video are stored in compressed mode We introduce a new scene change detection algorithm for MPEG compressed video The algorithm us e s DC sequence and motion vector to calculate pixel differences,histogram differe nces,statistical differences and the ratio of macroblocks with true motion vecto r Then...

The auto-detection of shot boundary is a necessary step for content-ba sed video retrieval Most scene change detection methods are based on non-compr e ssed video,but more and more video are stored in compressed mode We introduce a new scene change detection algorithm for MPEG compressed video The algorithm us e s DC sequence and motion vector to calculate pixel differences,histogram differe nces,statistical differences and the ratio of macroblocks with true motion vecto r Then a fuzzy logic system with adaptive member function is used to conclude t h e above metrics Experiments show that this algorithm can detect shot boundaries with high accuracy and has good adaptability to different types of video

镜头边界的自动检测是实现基于内容的视频检索必不可少的第一步 ,目前大多数的场景转换检测方法都是基于非压缩视频的 ,而越来越多的视频数据却以压缩形式存在。本文提出了一种新的针对MPEG压缩视频的场景转换检测算法 ,它利用DC序列和运动向量计算像素差、直方图差、统计差和具有“真实”运动向量的宏块所占的比例 ,然后用模糊逻辑对上述参量加以综合 ,隶属度用自适应的方法确定。实验表明这种镜头检测算法具有较高的检出率和检测精度 ,并且能适应不同类型的视频流。

 
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