rule based spatio temporal query processing for video databases
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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

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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
Main Focus
  • Spatio-temporal Query Processing
  • SQL like Video Query Languages
introduction
Introduction
  • Spatio-Temporal Query processing
  • Content-based retrieval
  • Video Databases
  • Multimedia Databases
three stages
Three Stages
  • Spatio-Temporal Query Processing is carried out in three main stages:
    • Query Recognition
    • Query Decomposition
    • Query Execution
vdbms languages
VDBMS Languages
  • Video SQL
  • MOQL
  • MTQL
  • AVIS
  • Video Star
  • CVQL
bilvideo vdbms
BilVideo VDBMS
  • System Architecture
  • Knowledge-Based Structure
bilvideo query language
BilVideo Query Language
  • Features of the language
  • Basic Query Types
  • Example Applications
features of the language
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;
basic query types
Basic Query Types
  • Object Queries
  • Spatial Queries
  • Temporal Queries
  • Aggregate Queries
object queries
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;

spatial queries
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
spatio temporal query processing
Spatio-Temporal Query Processing
  • Query recognition
  • Query Decomposition
  • Query Execution
  • Interval Processing
conclusion
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.
slide19
THANK YOU

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