情节代表帧选取方法是视频语义分析和基于内容的视频检索的很重要的方法。
Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.
为了全面准确地获取视频高层语义信息，提出了一种基于仿生的视频语义分析两级多模式融合算法。
To extract video semantic concepts combing different modalities, a two level multimodal fusion method for video semantic concept analysis is proposed.
作为其基础部分，视频语义分析和事件检测技术是一个非常活跃的研究方向，在许多方面有着广泛的应用前景。
As its basis, semantic analysis of video and event detection technology has not only theoretical significance but also practical perspective, which extracts strong research interests.
视频语义内容的自动获取和分析是计算机视觉领域最根本的目的和最具有挑战性的任务。
The automatic retrieval and analysis of video semantic contents is the fundamental goal and most challenging task in computer vision.
然后基于语义人脸实现了主持人镜头检测和视频新闻结构化算法，体现了视频对象正视频内容分析中的基础作用。
Then we realize anchorperson shot detection and video news indexing based on semantic faces, which shows video object's important usage in analysis of video semantic contents.
本文主要针对语义层次上的视频内容结构化分析和表达进行了研究。
In this thesis, we mainly develop the methods for video content analysis as well as video content representation on a semantic level.
摄像机运动检测有助于实现视频语义内容的理解和分析，是基于内容的视频检索系统中的重要研究内容。
Camera motion detection contribute to understand and analyze video content, camera motion detection has been an important research content in video retrieval system.
本文从镜头分割和分类分析了视频内容的语义结构。
In this paper, we mainly discuss semantic structure of content based video by shot segmentation and classification.
近年来，面向语义内容的视频检索受到越来越多的关注，它的目的是实现视频的自动语义分析和检索。
In recent years, semantic content-oriented video retrieval attracts more and more attention, and its aim is to achieve the automatic semantic video analysis and retrieval.
它是进行基于语义的视频分析的必要前提，也为基于内容的视频处理提供了基础。
It is not only the necessary precondition of the semantic-based video analysis, but also the basis of the content-based video processing.
重点研究了足球比赛视频的语义镜头模型、语义镜头探测、语义镜头辅助的事件探测方法以及对运动焦点的深入分析。
The major domains of the research are semantic shots model, semantic shots detection, detection methods about the event based on semantic shots and analyzing motion focus.
实验结果显示，该方法能够有效解决视频语义内容建模和分析匹配问题。
The results of the experiment demonstrate the validity of the presented method, which can solve the problems of video semantic modeling and matching.
提出了基于基本语义单元的体育视频内容分析框架，研究了这一框架中的慢镜头分析。
The main jobs in this paper lie in:1. It has proposed a framework based on Basic Semantic Unit (BSU) for sports video content analysis and has studied slow-motion replay analysis in the framework.
提出了基于基本语义单元的体育视频内容分析框架，研究了这一框架中的慢镜头分析。
The main jobs in this paper lie in:1. It has proposed a framework based on Basic Semantic Unit (BSU) for sports video content analysis and has studied slow-motion replay analysis in the framework.
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