Searching, Data Mining and Visualization of Multimedia Data

9/28/00


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Table of Contents

Searching, Data Mining and Visualization of Multimedia Data

Outline

Problem

Sample queries

Applications

Outline

Indexing - Multimedia

PPT Slide

Idea: ‘GEMINI’

‘GEMINI’ - Pictorially

GEMINI

Examples of GEMINI

Examples - cont’d

Outline

FastMap

FastMap

FastMap

FastMap

Idea: projections

Applications: time sequences

Applications - financial

VideoTrails

VideoTrails - usage

Outline

Visualization in Informedia

PPT Slide

PPT Slide

PPT Slide

PPT Slide

Conclusions for indexing + visualization

Outline

Data mining - compression

Problem - specs

Idea

SVD - intuition

Performance

Visualization

Data Mining: ‘Ratio Rules’

‘Ratio Rules’ - NBA data

Ratio Rules - example

Data mining - Conclusions

Outline

Problem #1: GIS - points

Problem #2: Internet

Problem #3: traffic

Common answer:

What is a fractal?

Intrinsic (‘fractal’) dimension

Sierpinsky triangle

Problem #1: GIS points

Solution #1

Solution #1

Solution #2: Internet topology

More power laws on the Internet

More power laws - internet

Even more power laws on the Internet

Solution #3: traffic

Solution #3: traffic

More examples of fractals

Brain scans

More fractals:

PPT Slide

More power laws: areas – Korcak’s law

More power laws: Korcak

More power laws

Even more power laws:

Power laws, cont’ed

Fractals - Conclusions

Conclusions:

Conclusions - cont’d

Conclusions - cont’d

Resources:

Citations

Citations

Author: Christos Faloutsos

Email: informedia@cs.cmu.edu

Home Page: http://www.informedia.cs.cmu.edu

Other information:
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