1 / 19

Rule-Based Spatio-Temporal Query Processing for Video Databases

Rule-Based Spatio-Temporal Query Processing for Video Databases. By Mehmet Emin Donderler Ozgur Ulusoy Ugur Gudukbay. Presented By, Srinivas Rapaka. Main Focus. Spatio-temporal Query Processing SQL like Video Query Languages. Introduction. Spatio-Temporal Query processing

zlhna
Télécharger la présentation

Rule-Based Spatio-Temporal Query Processing for Video Databases

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Rule-Based Spatio-Temporal Query Processing for Video Databases By Mehmet Emin Donderler Ozgur Ulusoy Ugur Gudukbay Presented By, Srinivas Rapaka

  2. Main Focus • Spatio-temporal Query Processing • SQL like Video Query Languages

  3. Introduction • Spatio-Temporal Query processing • Content-based retrieval • Video Databases • Multimedia Databases

  4. Three Stages • Spatio-Temporal Query Processing is carried out in three main stages: • Query Recognition • Query Decomposition • Query Execution

  5. VDBMS Languages • Video SQL • MOQL • MTQL • AVIS • Video Star • CVQL

  6. BilVideo VDBMS • System Architecture • Knowledge-Based Structure

  7. BilVideo System Architecture

  8. BilVideo Query Language • Features of the language • Basic Query Types • Example Applications

  9. Features of the Language • BilVideo Query Languages has four basic statements for retrieving information • Select video from all [where condition]; • Select video from videolist where condition; • Select segment from range where condition; • Select variable from range where condition;

  10. Basic Query Types • Object Queries • Spatial Queries • Temporal Queries • Aggregate Queries

  11. Object Queries • To retrieve salient objects • Examples: • Query1: • Select segment from all where appear(o1); • Query2: • Select segment , X from 1 where appear(o1,X) And X!=o1;

  12. Spatial Queries • To Query Videos by Spatial Properties • Three Categories: • Directional relation in 2D space • Topological relation in 2D space • 3D relations in 3D space

  13. Example Applications

  14. Example Applications(contd.)

  15. Example: Bird Migration Tracking system

  16. Spatio-Temporal Query Processing • Query recognition • Query Decomposition • Query Execution • Interval Processing

  17. Query Processing Phases

  18. Conclusion • An SQL-like textual query language for spatial-temporal queries on video data was proposed • BilVideo query language provides query support through external predicates for application dependent data. • Working on integrating the support for semantic and low level video queries into BilVideo by extending its query processor and query language.

  19. THANK YOU QUESTIONS?

More Related