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首页> 外文会议>Machine Vision, 2009. ICMV '09 >Hierarchical Video Data Modeling and Indexing for Virtual Scene Construction
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Hierarchical Video Data Modeling and Indexing for Virtual Scene Construction

机译：虚拟场景构建的分层视频数据建模和索引

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摘要

Rapidly growing quantities of digital video have made video data become a more important role in many applications than ever. Virtual scene construction also uses video materials as a rich resource. In order to manage the video materials like salient objects and scenes, an effective video retrieval system is required. In this paper, we present a video database management system using a hierarchical video model consisting of Video-Scene-Shot-SalientObject. We first propose a hierarchical video data model which presents a hierarchical structuring of video material and a hierarchical annotation of video material structure. Then two effective indexing structures are proposed based on the model, including an indexing tree structure which considers the relationship between salient objects and a semantic indexing structure inspired by the inverted file indexing structure. Finally, an implementation of this model is described and the efficiency of this method is evaluated.
机译：数量迅速增长的数字视频已使视频数据在许多应用中比以往任何时候都扮演着越来越重要的角色。虚拟场景构建还使用视频资料作为丰富的资源。为了管理诸如显着物体和场景之类的视频资料，需要有效的视频检索系统。在本文中，我们提出了一种使用由Video-Scene-Shot-SalientObject组成的分层视频模型的视频数据库管理系统。我们首先提出一个分层的视频数据模型，该模型提供了视频资料的分层结构和视频资料结构的分层注释。然后基于该模型提出了两种有效的索引结构，包括考虑显着对象之间关系的索引树结构和由倒排文件索引结构启发的语义索引结构。最后，描述了该模型的实现并评估了该方法的效率。

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