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Multimedia Databases

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Title: Multimedia Databases


1
Multimedia Databases
  • Eran Stiller Omer Gertel

2
In this presentation
  • Introduction
  • What is a Multimedia Database?
  • Why do we need it?
  • Modeling Multimedia Databases
  • Design Methodology
  • Modeling the WWW as a Multimedia Database
  • WebSQL
  • Using the Multimedia Design Methodology
  • Graphical extension to SQL SQLD

3
What is a Multimedia Database?
  • Multimedia Data-types
  • Movies, Pictures, Sound Clips, Documents etc
  • Advanced Querying Possibilities

4
Why Do We Need It?
  • Tremendous Amounts of
  • Digitized Multimedia Content
  • Video servers, Ifilms, IMDB, AllMusic, etc
  • Querying for Digitized Information
  • A Picture is Worth a Thousand Words

5
The Leading Concept
  • Extracting Information from Multimedia Objects
    On the Fly
  • Creating a Design Methodology
  • Simple, Intuitive, Upward Compatible
  • Unbound by Data-type, Application, Usage

6
Modeling Multimedia Databases
  • Using Object Relational Data Models
  • Data Description Language

7
Data Description Language
  • Example
  • Movie Database
  • MOVIE(Title, Year, Director, Length)
  • What About the Movie?
  • Add It to the Database
  • Create Additional Functions

8
Data Description Language
  • First Approach
  • Complex Type
  • Create Type Movie_t(
  • Title varchar(20),
  • Year int,
  • Director varchar(20),
  • Length int,
  • MV blob)
  • Create Table Movie of type Movie_t

9
Data Description Language
  • Second Approach
  • Extended Type
  • Create Table Movies(
  • Title varchar(20),
  • Year int,
  • Director varchar(20),
  • Length int,
  • MV movie_blob)

10
Data Description Language
  • Concerns
  • Distinguishing the Digitized Information
  • Conclusion
  • Naming Convention
  • The Core Special Attribute

11
Data Description Language
  • Example Continued
  • A New Relation
  • MOVIE(Title, Year, Director, Length, Core)
  • What About Querying?
  • Show the opening sequence of all movies directed
    by Spielberg in 1993.

12
Data Description Language
  • SQL-like Language
  • Select Movie.opening_seq
  • From Movie
  • Where Year1993 AND DirectorSpielberg

13
Data Description Language
  • SQL Solution
  • Declare External opening_seq(movie_blob)
  • Returns movie_blob
  • Language C
  • Smart Interpreter

14
A Design Methodology
  • Core-ER Diagram
  • Core-ORDB schema

15
Core-ER Diagram
  • Entities
  • Abstract Entities
  • Core Entities

16
Core-ER Diagram
  • Attributes
  • Conventional Attributes
  • Unconventional Attributes

17
Core-ER Diagram
  • Methods
  • Core as Input
  • Entity as Input

18
Core-ER Diagram
  • Keys and Relationships
  • Exactly as in ER Diagrams

19
Core-ER Diagram
  • Example

20
CER to Core-ORDB Schema
  • We Need Rules For
  • Abstract Entities
  • Core Entities
  • Methods
  • Relationships
  • Embedded ER Diagram
  • Keys
  • Core Can Be a Key
  • Example

21
  • Employee(SSN, name, picture, position, salary,
    Dept)

22
  • EMail(EMailID, From, To, Date, Date R, Size,
    RespTo, Core)

23
  • Declare External Keyword(Email, string) Returns
    BOOLEAN
  • ltFunction Definitiongt

24
  • Has(SSN, EMailID)

25
  • Note Core Can Be A Key!

26
A Design Methodology
  • Conclusion
  • Full Upward Compatibility
  • An Easy to Use Solution

27
Modeling the WWW
  • WebSQL
  • Using the Multimedia Design Methodology

28
WebSQL
  • SQL-Like Language
  • Minimal Relational Approach
  • Queries Based Both On The Content And On The
    Hypertext Structure Of The Web

29
WebSQL
  • Content Based Queries
  • Document(url, title, text, type, length,
    lastModify)

30
WebSQL
  • Example
  • Find All HTML Documents About Hypertext
  • Select D.url, D.title, D.length, D.lastModify
  • From Document D such that D mentions
    Hypertext
  • Where D.type text/html

31
WebSQL
  • Hypertext Structure Based Queries
  • Document(url, title, text, type, length,
    lastModify)
  • Anchor(base, href, label)

32
WebSQL
  • Example
  • Find All Links to Applet from Documents About
    Java
  • Select Y.label, Y.href
  • From Document X such that X mentions Java
    Anchor Y such that base X
  • Where Y.label contains Applet

33
WebSQL
  • Hypertext Link Classification
  • Interior (?)
  • Local (?)
  • Global (?)
  • Empty Path ()
  • Path Regular Expressions
  • Alternation ( )
  • Repetition ( )
  • Concatenation ( . )

34
WebSQL
  • Example
  • Select D.url, D.title
  • From Document D such that
    http//www.cs.huji.ac.il ? ?.? D
  • Where D.title contains database

35
WebSQL
  • Example
  • Select X.url, X.title, Y.url, Y.title
  • From
  • Document X such that X mentions Computer
    Science,
  • Document Y such that X ? ?. ? Y

36
Modeling the WWW
  • WebSQL
  • Already Implemented in Java
  • Specific Solution
  • Refers Only To Documents
  • Using the Multimedia Design Methodology

37
Multimedia Databases
  • Well Be Back, Right After The Break

38
Modeling the WWW
  • WebSQL
  • Already Implemented in Java
  • Specific Solution
  • Refers Only To Documents
  • Using the Multimedia Design Methodology

39
Multimedia Design Methodology
  • Entities
  • HTMLdoc(h_url, title, type, length, lastModify,
    core)
  • Links(l_url, label)
  • Include(h_url, l_url)

40
Multimedia Design Methodology
  • Methods
  • Contains(HTMLdoc.title, string)
  • Reach_by(HTMLdoc.url, url_to, by_n, l_type)
  • Mentions(HTMLdoc, string)
  • Linktype(HTMLdoc, url)

41
Multimedia Design Methodology
  • Example
  • Find All HTML Documents About Hypertext
  • Select HTMLdoc.h_url
  • From HTMLdoc
  • Where Contains(HTMLdoc.title, Hypertext)

42
Multimedia Design Methodology
  • Example
  • Find All Links to Applet from Documents About
    Java
  • Select Links.l_url
  • From HTMLdoc, Links, Include
  • Where mentions(HTMLdoc, java) AND
  • HTMLdoc.h_url Include.h_url AND
  • Links.l_url Include.l_url AND
  • substring(applet, Links.label)

43
Multimedia Design Methodology
  • Example
  • Select Links.l_url
  • From HTMLdoc, Links, Include
  • Where substring(database, HTMLdoc.title) AND
  • HTMLdoc.h_url Include.h_url AND
  • Links.l_url Include.l_url AND
  • reach_by(http//www.cs.huji.ac.il,
    Links.l_url, 2, local)
  • Hint Weve seen it before

44
Multimedia Design Methodology
  • Example
  • Select HTMLdoc.h_url, Links.l_url
  • From HTMLdoc, Links
  • Where mentions(HTMLdoc, Computer Science) AND
  • reach_by(HTMLdoc.h_url, Links.l_url, 2, local)

45
Multimedia Design Methodology
  • Simplified Model, But
  • Complicated Real World
  • Taking Another Step

46
Multimedia Design Methodology
  • Entities
  • HTMLdoc(h_url, title, type, length,
    lastModify, core)
  • WebObject(w_url, label, objectType,
    interactive, core)
  • Properties(position, size, props)
  • Include(h_url, w_url, position, size, props)

47
Multimedia Design Methodology
  • Methods
  • Contains(HTMLdoc.title, string)
  • Reach_by(HTMLdoc.url, url_to, by_n, l_type)
  • Mentions(HTMLdoc, string)
  • Linktype(HTMLdoc, url)
  • And Additional Methods
  • DisplayDoc(HTMLdoc)
  • DisplayObj(WebObject, Properties.position,
    Properties.size, Properties.props)

48
Multimedia Design Methodology
  • Example
  • List All Documents That Have a Video-Clip Or a
    Picture Labeled Sharon
  • Select HTMLdoc.h_url
  • From HTMLdoc, WebObject, Include
  • Where HTMLdoc.h_url Include.h_url AND
  • WebObject.w_url Include.w_url AND
  • (WebObject.objectType Image OR
  • WebObject.objectType Video) AND
  • WebObject.label Sharon

49
Multimedia Design Methodology
  • Still Not Complicated Enough
  • The Last Step

50
Modeling the WWW
  • WebSQL
  • Already Implemented in Java
  • Specific Solution
  • Refers Only To Documents
  • Using the Multimedia Design Methodology
  • General Methodology Used
  • Doesnt Require a Special Web SQL-Like Language
  • Easily Expandable

51
SQLD
  • Graphical Extension to SQL
  • Answering a Multimedia Database Query
  • Easier than Creating Specific Display Solutions
  • Display Specifications Are Included in the Query

52
SQLD
  • Video Store Database
  • Movie(available, title, director, producer,
    date, classification, rating, core, poster)
  • Movie_Actors(title, name, role)
  • Actors(name, age, biography, picture)

53
SQLD
  • List All Actors in Gone With the Wind with
    Their Pictures and Biographies
  • Select MA.name, A.biography, A.picture
  • From Movie_Actors MA, Actors A
  • Where MA.title Gone With the Wind AND
  • A.name MA.name
  • Display Panel main, Panel info On main(east),
  • With MA.name As list On main(west),
  • A.picture As image On info(north),
  • A.biography As text On info(south)

54
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55
SQLD
  • Display All Action Movies and Their Posters,
    Allowing to Play the movie If Desired
  • Select title, poster, core
  • From Movie
  • Where classification Action
  • Display Panel main, Panel b On main(east)
  • With poster As image On main(west),
  • title As list On b(north),
  • Play As button On b(south)
  • Trigger mpegplay( core )

56
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57
SQLD
  • Campus Map Database
  • Campus(campus_area,area_map)
  • Building(building_name, building_picture,
    campus_area, coordinates)
  • Floor(building_name, floor, floor_map)
  • Room(building_name, floor, room_name,
    description, homepage, info, coordinates)

58
SQLD
  • Show a Map of Main Campus With a List of the
    Buildings in it
  • Select C.area_map, B.building_name
  • From Campus C, Building B
  • Where C.campus_area Main Campus
  • Display Panel main
  • With B.building_name As list On main(east),
  • C.area_map As image On main(west)

59
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60
SQLD
  • Show a Map of Main Campus With a List of the
    Buildings in it
  • Select C.area_map, B.building_name,
    B.coordinates
  • From Campus C, Building B
  • Where C.campus_area Main Campus
  • Display Panel main
  • With B.building_name As list On main(east),
  • C.area_map As image On main(west)
  • All B.coordinates As polygon On
    main(west)

61
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62
SQLD
  • Show a Map of Main Campus With a List of the
    Buildings in it
  • Select C.area_map, B.building_name
  • From Campus C, Building B
  • Where C.campus_area Main Campus
  • Display Panel main
  • With B.building_name As list On main(east)
  • Trigger building_maps( building_name
    )
  • C.area_map As image On main(west)

63
SQLD
  • Where building_maps(input) is
  • Select B.building_name, B.building_picture,
    F.floor
  • From Building B, Floor F
  • Where B.building_name input AND
  • F.building_name B.building_name
  • Display Panel main, Panel b On main(south)
  • With building_picture As image On main(north),
  • building_name As title On main(north),
  • All floor As button On b(east)
  • Trigger floor_buildings( building_name ,
    floor )
  • Select Floor To Visit On b(west)

64
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65
SQLD
  • And floor_buildings(input1, input2) is
  • Select F.floor_map, R.floor, R.room_name,
    R.info, R.homepage, R.coordinates
  • From Floor F, Room R
  • Where F.building_name input1 AND
  • F.floor input2 AND
  • R.floor F.floor

66
SQLD
  • And floor_buildings(input1, input2) is
  • Display Panel main,
  • Panel b On main(west),
  • Panel c On main(east),
  • With floor_map As image On c(north),
  • All coordinates As poly On c(north),
  • room_name As list On b(north),
  • info As text On b(center),
  • All Distinct floor As button On c(south)
  • Trigger floor_buildings(buildin
    g_name,floor)
  • homepage As button On b(south)

67
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68
SQLD
  • SQL-Like Queries
  • Application-Like Display Controller
  • Makes Most of Both Worlds
  • Simple to Use
  • User Friendly Output

69
Conclusion
  • Multimedia Content Becomes More and More Popular
  • Correct Generic Models Bring Easy to Use Results
  • Clean, Simple Solutions Come From Extending the
    Existing Format

70
References
  • Chitta Baral, Graciela Gonzalez and Tran Son,
    Conceptual Modeling and Quering in Multi-media
    Databases, Department of CS, UTEP
  • Alberto O. Mendelzon, George A. Mihaila and Tova
    Milo, Quering the World Wide Web, University of
    Toronto and Tel-Aviv University, 1996
  • Chitta Baral, Graciela Gonzalez and Tran Son, A
    Multimedia Display Extension to SQL Language
    Design and Architecture, Department of CS, UTEP,
    1997
  • Chitta Baral, Graciela Gonzalez and Tran Son,
    Issues in Querying Multimedia Databases,
    Department of CS, UTEP
  • Isabel F. Cruz, Michael Averbuch, Wendy T. Lucas,
    Mellisa Radzyminski, Kirby Zhang, Delaunay a
    Database Visualization System, Database
    Visualization Reaserch Group, Tufts University

71
ThThThats All Folks!
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