Metadata Visualization:
Metamorphosis of Entity Recognition
Dr. Tabin Hasan
Assistant Professor
American International Uni...
Information Visualization
• Some Areas
– Textual information
– Temporal data
– Spatial Data
– Spatio-temporal data
– Numer...
Remember
• Information Visualization is not UI Design
• Information Visualization at the concerns also
– Information repre...
Contents
• Visual Metadata that speaks itself
– Level of visual properties
– Elements of visual properties
– How much deta...
Visual Metadata that speaks itself
Textual Metadata Visualization
Visual and textual in combination
Discussion
Level of vi...
Visual Metadata that speaks itself
Textual Metadata Visualization
Visual and textual in combination
Discussion
Level of vi...
Visual Metadata that speaks itself
Textual Metadata Visualization
Visual and textual in combination
Discussion
Level of vi...
Visual Metadata that speaks itself
Textual Metadata Visualization
Visual and textual in combination
Discussion
Level of vi...
Visual Metadata that speaks itself
Textual Metadata Visualization
Visual and textual in combination
Discussion
Is it weird...
Visual Metadata that speaks itself
Textual Metadata Visualization
Visual and textual in combination
Discussion
Is it weird...
Albert Einstein
Nobel Prize in Physics
"name";"Einstein on socialism"
"name";"God does not play dice"
"name";"Alber Enstie...
• Make
• NIKON CORPORATION
• Model
• NIKON D90
• Orientation
• 0
• X Resolution
• 72 dots per inch
• Y Resolution
• 72 dot...
Or simply
PhD Dinner
2010
Visual Metadata that speaks itself
Textual Metadata Visualization
Visual and textual in combinat...
It depends how things are remembered
And of course who is asking…
It depends on type of entity
Portrait of a Musician
Leon...
• Again it depends on context
• A name label is the first thing people would try to
remember
Example “Book”
Writer: Jack L...
Albert Einstein
Nobel Prize in Physics
User needs to be
informed what we are
talking about, Theory of
relativity or the pe...
Marco
Marco Marco Marco Marco Marco Marco
Trento Trento Milam Palermo Trento Verona
ABC spa c&m
consulting
Ltd.
Mandelli U...
A Facebook case
Tagging a person Why all these concerns?
• Saving Visual space
• Faster Visual recognition
• Reduced cogni...
Thanks for the participation
Visual Metadata that speaks itself
Textual Metadata Visualization
Visual and textual in combi...
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Data metadata visualization

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The role of metadata in entity recognition.

Publicado en: Datos y análisis

Data metadata visualization

  1. 1. Metadata Visualization: Metamorphosis of Entity Recognition Dr. Tabin Hasan Assistant Professor American International University – Bangladesh October 2010
  2. 2. Information Visualization • Some Areas – Textual information – Temporal data – Spatial Data – Spatio-temporal data – Numeric Data – Graph – And even more…
  3. 3. Remember • Information Visualization is not UI Design • Information Visualization at the concerns also – Information representation – Navigation through information space
  4. 4. 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 itself Textual Metadata Visualization Visual and textual in combination Discussion
  5. 5. Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion Level of visual properties Elements of visual properties How much detail is sufficient When it lies!
  6. 6. Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion Level of visual properties Elements of visual properties How much detail is sufficient When it lies!
  7. 7. Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion Level of visual properties Elements of visual properties How much detail is sufficient When it lies!
  8. 8. Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion Level of visual properties Elements of visual properties How much detail is sufficient When it lies!
  9. 9. Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion 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
  10. 10. Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion 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
  11. 11. 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 itself Textual Metadata Visualization Visual and textual in combination Discussion 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
  12. 12. • 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 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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 CORPORATION Model: NIKON D90 Orientation: 0X 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 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 Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion 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
  13. 13. Or simply PhD Dinner 2010 Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion 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
  14. 14. It depends how things are remembered And of course who is asking… It depends on type of entity Portrait of a Musician Leonardo da Vinci Mona Lisa Leonardo da Vinci Carl Marx Das Capital Communism Replica for sale: $500 Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion 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
  15. 15. • Again it depends on context • A name label is the first thing people would try to remember Example “Book” Writer: Jack London Title: Call of the Wild Location: America Published in: 1903 Type: Novel Publisher: Macmillan Title: Call of the Wild Writer: Jack London Published in: 1903 Location: America Type: Novel Publisher: Macmillan Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion 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
  16. 16. Albert Einstein Nobel Prize in Physics User needs to be informed what we are talking about, Theory of relativity or the person? Satyendra Nath Bose Physicist An image with a name label is worth of a million words Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion
  17. 17. Marco Marco Marco Marco Marco Marco Marco Trento Trento Milam Palermo Trento Verona ABC spa c&m consulting Ltd. Mandelli UNITN UNITN Ferrament a Alcofer S.R.L. Perhaps job position required Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion
  18. 18. 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 itself Textual Metadata Visualization Visual and textual in combination Discussion
  19. 19. Thanks for the participation Visual Metadata that speaks itself Textual Metadata Visualization Visual and textual in combination Discussion

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