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RuleBased SpatioTemporal Query Processing for Video Databases

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Select segment , X from 1 where appear(o1,X) And X!=o1; Spatial Queries ... An SQL-like textual query language for spatial-temporal queries on video data was proposed ... – PowerPoint PPT presentation

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Title: RuleBased SpatioTemporal Query Processing for Video Databases


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?
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