Spatio-temporal querying recurrent multimedia databases using a semantic sequence state graph

被引:0
|
作者
M. M. Naik
M. Sigdel
R. S. Aygun
机构
[1] University of Alabama in Huntsville,Computer Science Department
来源
Multimedia Systems | 2012年 / 18卷
关键词
Indexing; Querying; Spatio-temporal querying;
D O I
暂无
中图分类号
学科分类号
摘要
We present an indexing method for spatiotemporal data: semantic sequence state graph (S3G). S3G maintains objects with their locations as states and events as transitions. The spatial information is maintained in states while the semantic events result in temporal ordering between the states. If the objects visit the same locations repeatedly, we call such databases as recurrent databases. Our querying interface supports queries based on spatio-temporal logic that includes operators such as ‘next’ and ‘eventually’. The interactive querying interface enables the user to build the query interactively and see the intermediate results of the query.
引用
收藏
页码:263 / 281
页数:18
相关论文
共 50 条
  • [41] STRG-QL: Spatio-temporal region graph query language for video databases
    Lee, Jeongkyu
    Celebi, M. Emre
    MULTIMEDIA CONTENT ACCESS: ALGORITHMS AND SYSTEMS II, 2008, 6820
  • [42] A Graph Model for Spatio-temporal Evolution
    Del Mondo, Geraldine
    Stell, John G.
    Claramunt, Christophe
    Thibaud, Remy
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2010, 16 (11) : 1452 - 1477
  • [43] Spatio-Temporal Action Graph Networks
    Herzig, Roei
    Levi, Elad
    Xu, Huijuan
    Gao, Hang
    Brosh, Eli
    Wang, Xiaolong
    Globerson, Amir
    Darrell, Trevor
    2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2019, : 2347 - 2356
  • [44] Applying Spatio-temporal Databases to Interaction Agents
    Cuadra, Dolores
    Javier Calle, Francisco
    Rivero, Jessica
    del Valle, David
    INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE 2008, 2009, 50 : 536 - 540
  • [45] Supporting Situation Awareness in Spatio-Temporal Databases
    Andreas Behrend
    Philip Schmiegelt
    Andreas Dohr
    Datenbank-Spektrum, 2016, 16 (3) : 207 - 218
  • [46] Spatio-temporal outlier detection in large databases
    Dokuz Eylul University, Department of Computer Engineering, Izmir
    35100, Turkey
    J. Compt. Inf. Technol., 2006, 4 (291-297):
  • [47] A query calculus for spatio-temporal object databases
    Griffiths, T
    Fernandes, AAA
    Djafri, N
    Paton, NW
    EIGHTH INTERNATIONAL SYMPOSIUM ON TEMPORAL REPRESENTATION AND REASONING, PROCEEDINGS, 2001, : 101 - 110
  • [48] Mining frequent items in spatio-temporal databases
    Jin, CQ
    Xiong, F
    Huang, JZX
    Yu, JX
    Zhou, AY
    ADVANCES IN WEB-AGE INFORMATION MANAGEMENT: PROCEEDINGS, 2004, 3129 : 549 - 558
  • [49] Spatio-temporal outlier detection in large databases
    Birant, Derya
    Kut, Alp
    ITI 2006: PROCEEDINGS OF THE 28TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES, 2006, : 179 - +
  • [50] Spatio-temporal databases: Contentions, components and consolidation
    Paton, NW
    Fernandes, AAA
    Griffiths, T
    11TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATION, PROCEEDINGS, 2000, : 851 - 855