{"title":"Hierarchical Video Data Modeling and Indexing for Virtual Scene Construction","authors":"Huiyu Wang, Ruofeng Tong","doi":"10.1109/ICMV.2009.15","DOIUrl":null,"url":null,"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.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Conference on Machine Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMV.2009.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.