In this thesis, we mainly develop the methods for video content analysis as well as video content representation on a semantic level.
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。
The research contents include high dimension feature vectors index, semantic video classification, relevance feedback, similarity measure of video clips and video content representation.
本文研究内容涉及特征索引方法、视频语义分类方法、相关反馈方法、视频片段的相似度量以及视觉内容特征的表示等问题。
Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.
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。
For video sequences, we introduce such techniques as shot detection, representation of shot content, semantic scene description.
对于视频序列，则介绍了镜头检测、镜头内容表示、场景的语义描述等技术。
In this paper, a motion segmentation approach for content based video representation specified in the standard of MPEG 4 is proposed.
提出了一种MPEG4标准所规范的基于内容表示的图像序列运动分割算法。
As a brief representation of video content, video summarization can effectively assist users' browsing and organizing video clips.
视频摘要作为一种视频内容的简要表示，能够有效地增强用户浏览和组织视频的效率。
As a brief representation of video content, video summarization can effectively assist users' browsing and organizing video clips.
视频摘要作为一种视频内容的简要表示，能够有效地增强用户浏览和组织视频的效率。
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