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Business Identification: Spatial Detection. Alexander Darino Week 5. Outline. Recap of Previous Work Business Name Detection Business Name Matching Business Spatial Detection Weaknesses to Current Approach Alternatives to Current Approach Acknowledgements. Outline. Week 4. Week 5. - PowerPoint PPT Presentation
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Business Identification:Spatial Detection
Alexander DarinoWeek 5
2
Outline
• Recap of Previous Work• Business Name Detection• Business Name Matching• Business Spatial Detection• Weaknesses to Current Approach• Alternatives to Current Approach• Acknowledgements
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Outline
LatitudeLongitude
Geocoding
ReverseGeocoding
Nearby Businesses
Image OCR Detected Text
Business Name
Matching
BusinessIdentification
Business Spatial
Detection
Week 4 Week 5
Previous Work
4
Image Where Am I? Latitude, Longitude
Latitude, Longitude
Geocoding
ReverseGeocoding
Nearby Businesses
65George S Aiken CoWinghart's Burger & Whiskey BarMarket SquareBella Sera On the SquareChipotleNOLALas Velas…
5
Business Name Detection
LatitudeLongitude
Geocoding
ReverseGeocoding
Nearby Businesses
Image OCR Detected Text
Business Name
Matching
BusinessIdentification
Business Spatial
Detection
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Business Name Detection
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Business Name Detection…<line dy="95" dx="1573" y="420" x="11" value="1">
<space dy="26" dx="9" y="379" x="11"/> <box dy="26" dx="9" y="379" x="11" value="0" weights="96" numac="1"/> <box dy="25" dx="6" y="406" x="11" value="J" weights="98,62" numac="2"
achars="p"/> <box dy="19" dx="5" y="382" x="19" value="n" weights="96" numac="1"/> <space dy="5" dx="30" y="441" x="25"/> <box dy="5" dx="7" y="441" x="56" value="."/> <box dy="24" dx="5" y="401" x="57" value="."/> <box dy="13" dx="8" y="429" x="58" value="v" weights="98" numac="1"/> <box dy="26" dx="9" y="402" x="60" value="." weights="94" numac="1"/> <box dy="22" dx="5" y="406" x="67" value="0" weights="96" numac="1"/> <box dy="10" dx="12" y="444" x="71" value="."/>
</line>…
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Business Name Matching
LatitudeLongitude
Geocoding
ReverseGeocoding
Nearby Businesses
Image OCR Detected Text
Business Name
Matching
BusinessIdentification
Business Spatial
Detection
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Business Name Matching
• Developed Confidence Attribution Algorithm– Confidence of OCR Token being Name Token• Example: Confidence of “ESTUANT” representing
“RESTAURANT”• Point-based system
– Confidence of Name appearing in Image• Sum of points of matching OCR Text• Use logarithmically-normalized points to determine
business inclusion threshold
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Business Name Matching
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Business Name Matching
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Business Name Matching
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Business Name Matching
Note: k is usually 2 or 3
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Business Name Matching
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Business Name Matching
Note: This originally did not appear because it did not exceed the confidence threshold. It now appears because it contributes to the Business Name Identification
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Business Spatial Identification
LatitudeLongitude
Geocoding
ReverseGeocoding
Nearby Businesses
Image OCR Detected Text
Business Name
Matching
BusinessIdentification
Business Spatial
Detection
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Business Spatial Identification
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Business Spatial Identification
Aiken George S Co
Category:Food, GroceryAddress: 218 Forbes AvePittsburgh, PA 15222Phone: (412) 391-6358Rating: 4.5/5 (2 Reviews)
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Business Spatial Identification
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Business Spatial Identification
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Business Spatial Identification
Bruegger's Bagels
Category:BagelsAddress: Market Sq
Pittsburgh, PA 15222Phone: (412) 281-2515Rating: Not Rated
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Weaknesses to Current Approach
LatitudeLongitude
Geocoding
ReverseGeocoding
Nearby Businesses
Image OCR Detected Text
Business Name
Matching
BusinessIdentification
Business Spatial
Detection
25
Weaknesses to Current Approach
Lots of Garbage
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Weaknesses to Current Approach
Fragmented Word Detection
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Weaknesses to Current ApproachFails with
non-orthogonal perspective
Did I already mention lots of
garbage?
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Weaknesses to Current Approach
Fails withnon-roman text
Not scale-invariant
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ALTERNATIVE APPROACHESTwo different
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Alternative #1: Image Matching
LatitudeLongitude
Geocoding
ReverseGeocoding
Nearby Businesses
Image
Match to Storefront
Image
BusinessIdentification
Business Spatial
Detection
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Alternative #1: Image Matching
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Alternative #1: Image Matching
• Weaknesses– Storefront images aren’t always available for
matching– Computationally Expensive• Hundreds of images to compare to
– Nothing new– Boring!
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Alternative #2: Template Matching
LatitudeLongitude
Geocoding
ReverseGeocoding
Nearby Businesses
Image
Render Templates of Business Names in Different Fonts
Business SpatialDetection
Image Matching(eg. SIFT, HAAR)
Template Images
Business Identification
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Alternative #2: Template Matching
• Tambellini• Tambellini• Tambellini• Tambellini• Tambellini• Tambellini• Tambellini• Tambellini
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Alternative #2: Template Matching
OCR• Not Scale Invariant• Unbounded Search• Fragmented Recognition• Roman-only font
Alternative #2• Scale Invariant• Bounded Search• Whole-word recognition• All fonts
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Acknowledgements
• Subh– Provided several ideas regarding template
matching using SIFT, HAAR features, etc
Thank You
