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Metadata Visualization: Metamorphosis of Entity Recognition Dr. Tabin Hasan Assistant Professor American International University – Bangladesh October 2010

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Page 1: Data metadata visualization

Metadata Visualization: Metamorphosis of Entity Recognition

Dr. Tabin HasanAssistant Professor

American International University – BangladeshOctober 2010

Page 2: Data metadata visualization

Information Visualization

• Some Areas

– Textual information

– Temporal data

– Spatial Data

– Spatio-temporal data

– Numeric Data

– Graph

– And even more…

Page 3: Data metadata visualization

Remember

• Information Visualization is not UI Design

• Information Visualization at the concerns also

– Information representation

– Navigation through information space

Page 4: Data metadata visualization

Contents

• Visual Metadata that speaks itself– Level of visual properties– Elements of visual properties– How much detail is sufficient– When it lies!

• Textual Metadata Visualization– Is it weird? Necessity of information feed– How much is sufficient to identify an entity– What are the most important ones?– In which order they makes sense

• Visual and textual in combination• Discussion

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Page 5: Data metadata visualization

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Level of visual propertiesElements of visual propertiesHow much detail is sufficientWhen it lies!

Page 6: Data metadata visualization

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Level of visual propertiesElements of visual propertiesHow much detail is sufficientWhen it lies!

Page 7: Data metadata visualization

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Level of visual propertiesElements of visual propertiesHow much detail is sufficientWhen it lies!

Page 8: Data metadata visualization

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Level of visual propertiesElements of visual propertiesHow much detail is sufficientWhen it lies!

Page 9: Data metadata visualization

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Is it weird? Necessity of information feed How much is sufficient to identify an entity What are the most important ones?In which order they makes sense

Page 10: Data metadata visualization

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Is it weird? Necessity of information feed How much is sufficient to identify an entity What are the most important ones?In which order they makes sense

Page 11: Data metadata visualization

Albert Einstein

Nobel Prize in Physics

"name";"Einstein on socialism""name";"God does not play dice""name";"Alber Enstien""name";"Al Einstein""name";"Albert Einstein""name";"Ejnstejno""name";"Einsteinian""name";"Albert Einstin""name";"Albert Einstein's""name";"Einsetein""name";"Einstien""name";"Albert Enstein""name";"Albert LaFache Einstein""name";"Einstien""name";"Albert Einstein""source";"YAGO""prize";"Nobel Prize in Physics""date of birth";"1879-03-14""date of death";"1955-04-18""birthplace";"Ulm""birthplace";"Free Imperial City of Ulm""birthplace";"Ulm displaced persons camp""child";"Hans Albert Einstein""child";"Hans Einstein""child";"Lieserl Einstein""child";"Eduard Einstein""spouse";"Elsa Einstein""spouse";"Elsa Löwenthal""nationality";"Kingdom of Württemberg""nationality";"Kingdom of Wirtemberg""nationality";"Kingdom of Wuerttemberg""nationality";"Würtemberg""nationality";"Kingdom of Wurttemberg""influence";"Rudolf Carnap""influence";"Rudolph Carnap""influence";"Carnap""influence";"R. Carnap""influence";"Boris Podolsky""influence";"Борис Подольский""influence";"Boris Podolski""influence";"Théophile de Donder""influence";"Théophile Donder""influence";"Theophile De Donder""influence";"Theophile de Donder"

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Is it weird? Necessity of information feed How much is sufficient to identify an entity What are the most important ones?In which order they makes sense

Page 12: Data metadata visualization

• Make

• NIKON CORPORATION

• Model

• NIKON D90

• Orientation

• 0

• X Resolution

• 72 dots per inch

• Y Resolution

• 72 dots per inch

• Resolution Unit

• Inch

• Software

• Picasa 3.0

• Date/Time

• 2010:05:25 22:53:43

• YCbCr Positioning

• Center of pixel array

• Reference Black/White

• [0,0,0] [255,255,255]

• Exposure Time

• 1/400 sec

• F-Number

• F9

• Exposure Program

• Aperture priority

• ISO Speed Ratings

• 400

• Exif Version

• 2.20

• Date/Time Original

• 2010:05:01 17:43:53

• Date/Time Digitized

• 2010:05:01 17:43:53

• Components Configuration

• YCbCr

• Exposure Bias Value

• 0 EV

• Max Aperture Value

• F5.1

• Metering Mode

• Multi-segment

• Light Source

• Unknown

• Flash

• Flash did not fire

• Focal Length

• 80.0 mm

• User Comment

• Sub-Sec Time

• 00

• Sub-Sec Time Original

• 00

• Sub-Sec Time Digitized

• 00

• FlashPix Version

• 1.00

• Color Space

• Undefined

• Exif Image Width

• 4288 pixels

• Exif Image Height

• 2848 pixels

• Sensing Method

• One-chip color area sensor

• File Source

• Digital Still Camera (DSC)

• Scene Type

• Directly photographed image

• CFA Pattern

• 0 2 0 2 1 2 0 1

• Custom Rendered

• Normal process

• Exposure Mode

• Auto exposure

• White Balance

• Auto white balance

• Digital Zoom Ratio

• 1

• Focal Length 35

• 120mm

• Scene Capture Type

• Standard

• Gain Control

• Low gain up

• Contrast

• None

• Saturation

• None

• Sharpness

• None

• Subject Distance Range

• Unknown

• Compression

• JPEG (old-style)

• Thumbnail Offset

• 10912 bytes

• Thumbnail Length

• 6090 bytes

• Thumbnail Data

• [6090 bytes of thumbnail data]

• Firmware Version

• 2.10

• ISO

• ISO 400

• Quality & File Format

• RAW

• White Balance

• AUTO

• AF Type

• AF-A

• White Balance Fine

• 0 0

• White Balance RB Coefficients

• 178515625/100000000 139453125/100000000 1/1 1/1

• Unknown 01

• 0 1 6 0

• Unknown 02

• 0 1 12 0

• Unknown 03

• 9694

• ISO

• 0 400

• Unknown 24

• 0

• Unknown 04

• 14

• Lens

• 18-200mm f/3.5-5.6

• Unknown 05

• 0

• Unknown 07

• 0

• Unknown 20

• 2

• Unknown 08

• 64 1 12 0

• Unknown 09

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• Noise Reduction

• OFF

• Unknown 12

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• Unknown 13

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• Unknown 14

• 2176 1434

• Unknown 26

• 3582651

• Unknown 27

• 0

• Exposure Sequence Number

• 553

• Unknown 30

• Unknown 16

• 9788

• Interoperability Index

• Recommended Exif Interoperability Rules (ExifR98)

• Interoperability Version

• .

• GPS Version ID

• 0 0 2 2

• GPS Latitude Ref

• N

• GPS Latitude

• 46"4'2.9489136

• GPS Longitude Ref

• E

• GPS Longitude

• 11"9'30.461657

• GPS Altitude Ref

• Sea level

• GPS Altitude

• 0 metres

• Data Precision

• 8 bits

• Image Height

• 2848 pixels

• Image Width

• 4288 pixels

• Number of Components

• 3

• Component 1

• Y component: Quantization table 0, Sampling factors 1 horiz/1 vert

• Component 2

• Cb component: Quantization table 1, Sampling factors 1 horiz/1 vert

• Component 3

• Cr component: Quantization table 1, Sampling factors 1 horiz/1 vert

Make: NIKON CORPORATIONModel: NIKON D90Orientation: 0X Resolution: 72 dots per inchY Resolution: 72 dots per inchResolution Unit: InchSoftware: Picasa 3.0Date/Time: 2010:05:25 22:53:43YCbCr Positioning: Center of pixel arrayReference Black/White: [0,0,0] [255,255,255]Exposure Time: 1/400 sec

Image Height: 2848 pixelsImage Width: 4288 pixelsNumber of Components: 3Component 1Y component: Quantization table 0, Sampling factors 1 horiz/1 vertComponent 2Cb component: Quantization table 1, Sampling factors 1 horiz/1 vertComponent 3Cr component: Quantization table 1, Sampling factors 1 horiz/1 vert

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Is it weird? Necessity of information feed How much is sufficient to identify an entity What are the most important ones?In which order they makes sense

Page 13: Data metadata visualization

Or simply

PhD Dinner2010

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Is it weird? Necessity of information feed How much is sufficient to identify an entity What are the most important ones?In which order they makes sense

Page 14: Data metadata visualization

It depends how things are remembered

And of course who is asking…

It depends on type of entity

Portrait of a MusicianLeonardo da Vinci

Mona LisaLeonardo da Vinci

Carl Marx

Das Capital

Communism

Replica for sale: $500

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Is it weird? Necessity of information feed How much is sufficient to identify an entity What are the most important ones?In which order they makes sense

Page 15: Data metadata visualization

• Again it depends on context• A name label is the first thing people would try to

remember

Example “Book”

Writer: Jack LondonTitle: Call of the WildLocation: AmericaPublished in: 1903Type: Novel Publisher: Macmillan

Title: Call of the WildWriter: Jack LondonPublished in: 1903Location: AmericaType: Novel Publisher: Macmillan

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Is it weird? Necessity of information feed How much is sufficient to identify an entity What are the most important one?In which order they makes sense

Page 16: Data metadata visualization

Albert Einstein

Nobel Prize in Physics

User needs to be informed what we are talking about, Theory of relativity or the person?

Satyendra Nath BosePhysicist

An image with a name label is worth of a million words

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Page 17: Data metadata visualization

Marco

Marco Marco Marco Marco Marco Marco

Trento Trento Milam Palermo Trento Verona

ABC spa c&mconsulting Ltd.

Mandelli UNITN UNITN Ferramenta AlcoferS.R.L.

Perhaps job position required

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Page 18: Data metadata visualization

A Facebook case Tagging a person Why all these concerns?

• Saving Visual space

• Faster Visual recognition

• Reduced cognitive load

• Reduced error and effort

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion

Page 19: Data metadata visualization

Thanks for the participation

Visual Metadata that speaks itselfTextual Metadata VisualizationVisual and textual in combinationDiscussion