Hierarchical Video Data Modeling and Indexing for Virtual Scene Construction

Huiyu Wang, Ruofeng Tong
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Abstract

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.
面向虚拟场景构建的分层视频数据建模与索引
快速增长的数字视频量使得视频数据在许多应用中扮演着比以往任何时候都重要的角色。虚拟场景的构建也利用了视频素材作为丰富的资源。为了对重要对象和场景等视频资料进行管理,需要一个有效的视频检索系统。本文提出了一个视频数据库管理系统,该系统采用由视频-场景-拍摄-显著对象组成的分层视频模型。首先提出了一种分层视频数据模型,该模型提出了视频材料的分层结构和视频材料结构的分层标注。在此基础上提出了两种有效的索引结构,包括考虑显著对象之间关系的索引树结构和受倒排文件索引结构启发的语义索引结构。最后,给出了该模型的具体实现,并对该方法的有效性进行了评价。
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