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

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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

  • Content-based retrieval

  • Video Databases

  • Multimedia Databases


Three Stages

  • Spatio-Temporal Query Processing is carried out in three main stages:

    • Query Recognition

    • Query Decomposition

    • Query Execution


VDBMS Languages

  • Video SQL

  • MOQL

  • MTQL

  • AVIS

  • Video Star

  • CVQL


BilVideo VDBMS

  • System Architecture

  • Knowledge-Based Structure


BilVideo System Architecture


BilVideo Query Language

  • Features of the language

  • Basic Query Types

  • Example Applications


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

  • Object Queries

  • Spatial Queries

  • Temporal Queries

  • Aggregate 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

  • To Query Videos by Spatial Properties

  • Three Categories:

    • Directional relation in 2D space

    • Topological relation in 2D space

    • 3D relations in 3D space


Example Applications


Example Applications(contd.)


Example: Bird Migration Tracking system


Spatio-Temporal Query Processing

  • Query recognition

  • Query Decomposition

  • Query Execution

  • Interval Processing


Query Processing Phases


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.


THANK YOU

QUESTIONS?


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