A semantic data model and query language for video databases

buir.supervisorUlusoy, Özgür
buir.supervisorGüdükbay, Uğur
dc.contributor.authorArslan, Umut
dc.date.accessioned2016-01-08T18:17:01Z
dc.date.available2016-01-08T18:17:01Z
dc.date.copyright2002
dc.date.issued2002
dc.descriptionAnkara : The Department of Computer Engineering and Institute Engineering and Science of Bilkent University, 2002.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2002.en_US
dc.descriptionIncludes bibliographical references (leaves 55-57).en_US
dc.descriptionCataloged from PDF version of article.
dc.description.abstractAdvances in compression techniques, decreasing cost of storage, and high—speed transmission have facilitated the way video is created, stored and distributed. As a consequence, video is now being used in many application areas. The increase in the amount of video data deployed and used in today’s applications not only caused video to draw more attention as a multimedia data type, but also led to the requirement of efficient management of video data. Management of video data paved the way for new research areas, such as indexing and retrieval of videos with respect to their spatio—temporal, visual and semantic contents. In this thesis, semantic content of video is studied, where video metadata, activities, actions and objects of interest are considered within the context of video semantic content. A data model is proposed to model video semantic content, which is extracted from video data by a video annotation tool. A video query language is also provided to support semantic queries on video data. The outcome of this thesis work will be used in a project, which proposes a video database system architecture with spatio—temporal, object—trajectory and object—apperance query facilities so as to build a complete video search system to query video data by its spatio—temporal, visual and semantic features.
dc.description.provenanceMade available in DSpace on 2016-01-08T18:17:01Z (GMT). No. of bitstreams: 1 0001954.pdf: 3129569 bytes, checksum: ac258ce11cb26a2e42a80ab63f3862d8 (MD5)en
dc.description.statementofresponsibilityby Umut Arslanen_US
dc.format.extentx, 74 leaves : illustrations, charts ; 30 cm.en_US
dc.identifier.itemidBILKUTUPB062036
dc.identifier.urihttp://hdl.handle.net/11693/15341
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVideo databases
dc.subjectSemantic video modeling
dc.subjectAnnotation of video data
dc.subjectSemantic querying of video data
dc.titleA semantic data model and query language for video databasesen_US
dc.title.alternativeVideo verileri için anlamsal veri modeli ve sorgulama dili
dc.typeThesisen_US
thesis.degree.disciplineComputer Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
0001954.pdf
Size:
2.98 MB
Format:
Adobe Portable Document Format