由于多媒体数据库管理和检索的效率直接决定了人们利用多媒体数据信息的效率,因此随着MPEG-7标准的提出,基于内容的图象/视频存储和检索已成为研究的热点.为了快速地对视频进行浏览和检索,在研究基于内容的视频数据库管理和检索等热点问题的基础上,首先使用MPEG-7视觉内容描述子和语义描述子来构建视频数据库的语义结构,并结合底层视觉特征和高层语义特征,采用相关反馈机制和半自动权重更新体制来对视频数据库进行管理和检索;然后采用语法分析器来支持自然语言查询;最后在此基础上实现了基于内容的视频数据库的管理和查询系统.实验证明,该系统能够有效地对视频数据进行管理和检索,并且具有一定的智能性和适应性.

The management and retrieval of Image/Video database based on their content has became an important search area in recent years. MPEG-7 standard provides a rich set of tools for completely describing multimedia content. In this paper, we explore the issue on content-based video manage and retrieval system. A video database described by MPEG-7 video content description and MPEG-7 semantic description is realized. Within this system, natural language comprehension technique is incorporated which makes it possible for user to query conveniently by more natural language, and synonymy lexicon is used to reduce the redundancy of features. We combine Low-level visual feature and high-level semantic description together, and adopt relevance feedback mechanism which enables user to find his target video step by step. Also we use semiautomatic intelligent weight innovation algorithm , which can make the features more and more reasonable. Experiment result shows that we can manage and retrieval video by content expediently and effectively using this system.