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Content-based Retrieval System for Video Databases, Based on Event-Activity Model

基于事件活动模型的视频数据库内容检索系统

基本信息

批准号：
10558053
负责人：
WATANABE Toyohide
金额：
$ 7.81万
依托单位：
Nagoya University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

项目摘要

Concerning the subject about the construction of video databases, we developed the event-activity model.The events are defined as the features of objects observed from the difference among frames and also the activities are composed as a sequence of continuously ordered events. Additionally, we implemented the prototyping system STRIKE for managing video databases, based on such a model. In many of the traditional approaches, the retrieval facilities are dependent on the indexes for scenes with several frames, and identify only the preset scenes. On the other hand, the indexes in our approach are assigned to individual characteristic frames as events and the retrieval facilities can select various scenes which match with a sequence of events adaptively. Namely, the retrieval facility looks upon the retrieval conditions as activities for patterns of a sequence of events, and a sequence of events to be consistent with the event pattern from video frames. The automaton which supports the retrieval facility basically transfers its own internal state to the acceptable state in accordance with the order of input events, and identifies scenes, corresponded by activities effectively.Our research subject was scheduled during 3 years until 2000, and contributed the following mechanism and functions for managing video databases :- scene retrieval through a sequence of events ;- content-based retrieval controlled by automaton mechanism ;- automatic indexing to video frames ;- user-oriented retrieval, based on semantic roles among events/objects ;- similar scene retrieval ;- automatic composition of digests for topic scenes ;- hyper-video for effective browsing.

针对视频数据库的构建问题，提出了事件-活动模型，将事件定义为从帧之间的差异中观察到的对象的特征，并将活动组成为一系列连续有序的事件。在此模型的基础上，实现了视频数据库管理原型系统Strike。在许多传统的方法中，检索工具依赖于具有多个帧的场景的索引，并且只识别预设的场景。另一方面，该方法将索引作为事件分配给单个特征帧，检索工具可以自适应地选择与事件序列匹配的各种场景。即，检索设施将检索条件视为事件序列的模式的活动，以及与来自视频帧的事件模式一致的事件序列。支持检索功能的自动机基本上按照输入事件的顺序将自己的内部状态转换到可接受的状态，并有效地识别由活动对应的场景。我们的研究课题在3年内被安排到2000年，并为管理视频数据库贡献了以下机制和功能：-通过一系列事件的场景检索；-由自动机机制控制的基于内容的检索；-视频帧的自动索引；-面向用户的检索，基于事件/对象之间的语义角色；-相似场景检索；-主题场景的摘要的自动合成；-用于有效浏览的超视频。