{"title":"A Temporal UID Matrix Strategy for Indexing Video Databases","authors":"Ye-In Chang, Wei-Horng Yeh, Jiun-Rung Chen, Youcheng Chen","doi":"10.1109/ISM.2007.9","DOIUrl":null,"url":null,"abstract":"In video databases, each video contains temporal and spatial relationships between content objects. One of the well-known video indexing strategies is the 3D C-string strategy. However, it cannot deal with the condition that an object appears and then disappears for more than one time. To solve this problem, in this paper, we propose an indexing strategy, called temporal UID Matrix1. Based on the original 13 spatial relationships proposed by 2D C-string and our three new spatial relationships, we can derive the temporal relationships from the sequence of spatial relationships. Therefore, in our proposed strategy, although we build only index for spatial relationships, and we still can answer the video queries, i.e., spatial, temporal, and spatio-temporal queries. From our simulation study, we show that our proposed strategy is more efficient for video searching than the 3D C-string strategy.","PeriodicalId":129680,"journal":{"name":"Ninth IEEE International Symposium on Multimedia (ISM 2007)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ninth IEEE International Symposium on Multimedia (ISM 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2007.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In video databases, each video contains temporal and spatial relationships between content objects. One of the well-known video indexing strategies is the 3D C-string strategy. However, it cannot deal with the condition that an object appears and then disappears for more than one time. To solve this problem, in this paper, we propose an indexing strategy, called temporal UID Matrix1. Based on the original 13 spatial relationships proposed by 2D C-string and our three new spatial relationships, we can derive the temporal relationships from the sequence of spatial relationships. Therefore, in our proposed strategy, although we build only index for spatial relationships, and we still can answer the video queries, i.e., spatial, temporal, and spatio-temporal queries. From our simulation study, we show that our proposed strategy is more efficient for video searching than the 3D C-string strategy.