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soccer video
相关语句
  足球视频
     SVAM:A Highlights Analysis and Management System for Soccer Video
     SVAM:足球视频精彩镜头分析和管理系统
     Soccer Video Shot Classification Method Based on Color and Edge Distribution
     基于颜色与边缘分布的足球视频镜头分类方法
短句来源
     Automatic Audio Classification and Segmentation for Soccer Video Structuring
     辅助足球视频切分的音频自动分类与分段
短句来源
     Analyzing Semantic Structure of Soccer Video with HMM
     基于HMM的足球视频语义结构分析
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     Highlights Detection of Soccer Video with HIDDEN MARKOV MODELS
     基于隐马尔科夫模型的足球视频典型事件检测
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  足球比赛视频
     Research and Realization of Analysis Method Assisted by Semantic Shot for Soccer Video
     基于语义镜头的足球比赛视频分析方法的研究与实现
短句来源
     With the development of video storage technique, speedy increase of users* demand and advancement of network, automatically detecting important semantic events of the soccer video and further summarization of the video to help indexing, browsing and presenting it has become increasingly important.
     随着视频数据存储技术的发展、用户需求的迅速增长以及网络技术的日益进步,使得自动探测足球比赛视频中的重要语义事件,并据此生成视频摘要来辅助检索、浏览和描述视频变得越来越重要。
短句来源
     Based on a novel model for semantic shot classification, we have solved the problem of detection the highlights in soccer video and developed a highlights analysis and management system for soccer video;
     使用新型的语义镜头分类模型,我们实现了快速探测足球比赛视频中的精彩镜头,并开发出足球视频精彩镜头分析和管理系统;
     Field and Athletes Detection and Segmentation in Soccer Video
     足球比赛视频中场地及运动员检测
     For the application of soccer video, this paper presents a method using visual and audio information to extract and integrate characters in order to analyze soccer video contents.
     针对足球视频应用的实际需要,文章提出了一种通过视频、音频信息等多种特征的提取和融合来进行足球比赛视频分析的方法。
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  足球视频的
     Analysis and Summarization for Soccer Video
     足球视频的结构分析与概要
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     Structural Analysis and Summarization of Soccer Video
     足球视频的结构分析及其概要抽取
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     The shot boundary detection employs the multi-filter structure that combines traditional pixel level comparison and histogram comparison with object segmentation and object tracking for the particularity in soccer video.
     由于足球视频的特殊性,在镜头边界检测中采用分层检测的算法,第一层为像素点对的比较和直方图的比较,第二层为对象分割和对象跟踪。
短句来源
     The shot boundary detector employs the multi-filter structure:pixel level comparison,histogram,object segmentation maps and object tracking for the particularity in soccer video.
     由于足球视频的特殊性,本文在镜头边界检测中采用分层检测的方法:象素点对的比较、颜色直方图和对象分割和跟踪技术。
短句来源
     A semantic structure of soccer video is proposed. Soccer video is composed with “semantic events”,each of which is constructed by several “semantic shots”.
     提出了一种足球视频的语义结构,即足球视频由多个语义事件构成,每个语义事件由数个语义镜头组成。
短句来源
  “soccer video”译为未确定词的双语例句
     Automatic Extracting Feature Lines from Soccer Video Sequences
     足球场地标志线的自动提取
短句来源
     The main work includes the following three points: 1) automatically detecting playfield. This technology is commonly used in soccer video analysis and 3D scene reconstruction;
     文中工作集中在以下三个方面:1)自动的球场检测算法,这项技术是场景分析与三维重建工作中共用的技术;
短句来源
     The major content and contribution of the dissertation include as following:1. Studies the structure and production technique of soccer video, then puts forward and realizes a model about high-level semantic shot, and builds an effective relationship between low-level physical features and high-level semantic contents.
     1.研究了足球比赛视频的结构特点和摄制手法,在此基础上提出和实现了足球比赛视频的语义镜头分类模型,从而在低层物理特征和高层语义内容之间建立起有效的联系。
短句来源
     The experimental results on six soccer video clipsconfirmed the effectiveness and robustness of our framework.
     六段视频序列的实验结果,充分说明了该检测跟踪框架的有效性和鲁棒性。
短句来源
     According to the characteristics of soccer videos, this paper proposes an effective method to automatically detect goal shots using dominant color region detection and projection method, and thus realizes the soccer video retrieval based on goal shots.
     根据足球比赛视频的特点,提出了一种有效的射门镜头检测方法,即利用主颜色区域检测和投影法来检测射门镜头,从而实现了按射门镜头对视频进行检索。
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  soccer video
In this paper we propose an accurate and robust image mosaicing method of soccer video taken from a rotating and zooming camera using line tracking and self-calibration.
      
The examples are illustrated in soccer video sequences, where the moving objects are the players and the ball.
      
Section III provides examples for the instantiation of the model in a soccer video.
      
Multiple objects The robot soccer video sequence contains two moving objects.
      
For example, a user analysing a soccer video will ask for specific events such as goals.
      
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Segmenting and tracking are a hot problem in video processing. For the application of soccer video, this paper presents a method to implement quick segmentation and tracking of players from a soccer video. Players are segmented by the use of the statistics of color components differences; Correlation of two normalized color histograms is used to identify the team that a player belongs to; To track the players, this method has used the context features and correlated-template matching. Experiment...

Segmenting and tracking are a hot problem in video processing. For the application of soccer video, this paper presents a method to implement quick segmentation and tracking of players from a soccer video. Players are segmented by the use of the statistics of color components differences; Correlation of two normalized color histograms is used to identify the team that a player belongs to; To track the players, this method has used the context features and correlated-template matching. Experiment results show that this method deals well with occlusion of two players belonging to different teams, and can track when multiple players are in occlusion. The method can track robustly when the players?shape changes greatly.

分割与跟踪一直是视频图像处理的一个热门问题。针对足球视频应用的需要,本文实现了一个快速的球员分割与跟踪算法。根据颜色分量差值的统计信息,实现了球员的自动分割;通过归一化颜色直方图的相关性比较,辨识球员所属的球队;利用视频序列中球员的上下文特征,结合模板匹配方法,实现了球员的跟踪。实验结果表明,本文提出的跟踪算法很好地解决了不同球队队员的遮挡问题,并能处理多人遮挡情况,在球员形态变化较大时也能稳定地跟踪。

Parameters of the white lines, which are around penalty area and goal area, are first detected automatically These parameters in turn can be used to determine the camera parameters, reconstruct the soccer field, and compute the soccer players' real positions The lines are segmented by using mathematical morphology operation, and then parameters of the lines are detected by using a refined Hough transform Experimental results show that this method can extract the parameters of lines robustly and correctly...

Parameters of the white lines, which are around penalty area and goal area, are first detected automatically These parameters in turn can be used to determine the camera parameters, reconstruct the soccer field, and compute the soccer players' real positions The lines are segmented by using mathematical morphology operation, and then parameters of the lines are detected by using a refined Hough transform Experimental results show that this method can extract the parameters of lines robustly and correctly from soccer video sequences, and can meet the requirement of camera calibration

介绍一种从足球比赛录像中自动提取禁区线和球门线的方法 作为足球比赛场景三维重建和视频解说系统的一部分 ,提取的结果可用于摄像机定标和球场的重建 使用数学形态学、Hough变换、最小二乘法等多种方法 ,可以从复杂的足球比赛录像中自动提取出所有禁区线和球门线的直线参数 实验结果表明 ,文中方法对类似背景的直线提取非常有效 ,可满足摄像机定标和球场重建的需要

For the application of soccer video, this paper presents a method using visual and audio information to extract and integrate characters in order to analyze soccer video contents. At first,the proposed method detects scenes and extracts color character for classifying them; then it extracts and integrates ground feature,mobile objects feature and audio character in the scenes which are needed;in the end, it builds an effective technique to realize highlights analysis.

针对足球视频应用的实际需要,文章提出了一种通过视频、音频信息等多种特征的提取和融合来进行足球比赛视频分析的方法。该方法首先在视频中进行镜头探测,然后在单独的镜头中提取颜色特征,进行镜头分类;在所需要的镜头类型中对球场特征、运动对象特征和音频特征进行提取、融合,建立有效的分析方法,从而实现精彩镜头分析。

 
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