Data modeling and querying for video databases
buir.advisor | Ulusoy, Özgür | |
dc.contributor.author | Dönderler, Mehmet Emin | |
dc.date.accessioned | 2016-07-01T11:10:51Z | |
dc.date.available | 2016-07-01T11:10:51Z | |
dc.date.issued | 2002 | |
dc.description | Cataloged from PDF version of article. | en_US |
dc.description.abstract | With the advances in information technology, the amount of multimedia data captured, produced and stored is increasing rapidly. As a consequence, multimedia content is widely used for many applications in today’s world, and hence, a need for organizing this data and accessing it from repositories with vast amount of information has been a driving stimulus both commercially and academically. In compliance with this inevitable trend, first image and especially later video database management systems have attracted a great deal of attention since traditional database systems are not suitable to be used for multimedia data. In this thesis, a novel architecture for a video database system is proposed. The architecture is original in that it provides full support for spatio-temporal queries that contain any combination of spatial, temporal, object-appearance, external-predicate, trajectory-projection and similarity-based object-trajectory conditions by a rule-based system built on a knowledge-base, while utilizing an object-relational database to respond to semantic (keyword, event/activity and category-based) and low-level (color, shape and texture) video queries. Research results obtained from this thesis work have been realized by a prototype video database management system, which we call BilVideo. Its tools, Fact-Extractor and Video-Annotator, its Web-based visual query interface and its SQL-like textual query language are presented. Moreover, the query processor of BilVideo and our spatio-temporal query processing strategy are also discussed. | en_US |
dc.description.provenance | Made available in DSpace on 2016-07-01T11:10:51Z (GMT). No. of bitstreams: 1 0002105.pdf: 942658 bytes, checksum: a6b7c3fc324e6c88da892cd1ea5e64a7 (MD5) Previous issue date: 2002 | en |
dc.description.statementofresponsibility | Dönderler, Mehmet Emin | en_US |
dc.format.extent | xiv, 115 leaves, illustrations, 30 cm | en_US |
dc.identifier.itemid | BILKUTUPB066816 | |
dc.identifier.uri | http://hdl.handle.net/11693/30023 | |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | video databases | en_US |
dc.subject | multimedia databases | en_US |
dc.subject | information systems | en_US |
dc.subject | video data modeling | en_US |
dc.subject | content-based retrieval | en_US |
dc.subject | spatio-temporal relations | en_US |
dc.subject | spatiotemporal query processing | en_US |
dc.subject | video query languages | en_US |
dc.subject.lcc | QA76.575 .D66 2002 | en_US |
dc.subject.lcsh | Multimedia systems. | en_US |
dc.title | Data modeling and querying for video databases | en_US |
dc.type | Thesis | en_US |
thesis.degree.discipline | Computer Engineering | |
thesis.degree.grantor | Bilkent University | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Ph.D. (Doctor of Philosophy) |
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