1 / 10

Point of Interest (POI) Identification

Point of Interest (POI) Identification. Alexander Darino Week 3. Overview.  The  Where Am I? project obtains geolocation of camera from image  Objective: Obtain the geolocation and address of POI s in image  Assume POI is nearby, eg. < 50m from camera

kueng
Download Presentation

Point of Interest (POI) Identification

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Point of Interest (POI) Identification Alexander Darino Week 3

  2. Overview •  The Where Am I? project obtains geolocation of camera from image •  Objective: Obtain the geolocation and address of POIs in image •  Assume POI is nearby, eg. < 50m from camera •  Allows for Image-based queries (eg. Google Goggles) •  Real World Applications •  Business Reviews •  Links to Virtual Storefronts

  3. Pipeline • Given: Geolocation of Camera • Reverse Geocoding: obtain addresses in local neighborhood • Several reverse geocoding APIs available • Yelp uses HTTP-based API: Use with any programming language • POI Identification: Use OCR to extract uniquely identifying features, ie. business names • More resilient than SIFT against franchises, mundane buildings • POI Address Extraction: Prune list of addresses based on extracted business names

  4. Anticipated End-Result

  5. Example Yelp Query & Response Query: http://api.yelp.com/business_review_search?term=yelp&tl_lat=37.9&tl_long=-122.5&br_lat=37.788022&br_long=-122.399797&limit=3&ywsid=ExP4S3hA-rMoLMtH8O3KTQ

  6. {'businesses': [{'address1': '466 Haight St',                 'address2': '',                 'address3': '',                 'avg_rating': 4.0,                 'categories': [{'category_filter': 'danceclubs',                                 'name': 'Dance Clubs',                                 'search_url': 'http://yelp.com/search?find_loc=466+Haight+St%2C+San+Francisco%2C+CA&cflt=danceclubs'},                                {'category_filter': 'lounges',                                 'name': 'Lounges',                                 'search_url': 'http://yelp.com/search?find_loc=466+Haight+St%2C+San+Francisco%2C+CA&cflt=lounges'},                                {'category_filter': 'tradamerican',                                 'name': 'American (Traditional)',                                 'search_url': 'http://yelp.com/search?find_loc=466+Haight+St%2C+San+Francisco%2C+CA&cflt=tradamerican'}],                 'city': 'San Francisco',                 'distance': 1.8780401945114136,                 'id': 'yyqwqfgn1ZmbQYNbl7s5sQ',                 'is_closed': False,                 'latitude': 37.772201000000003,                 'longitude': -122.42992599999999,                 'mobile_url': 'http://mobile.yelp.com/biz/yyqwqfgn1ZmbQYNbl7s5sQ',                 'name': 'Nickies',                 'nearby_url': 'http://yelp.com/search?find_loc=466+Haight+St%2C+San+Francisco%2C+CA',                 'neighborhoods': [{'name': 'Hayes Valley',                                    'url': 'http://yelp.com/search?find_loc=Hayes+Valley%

  7. Parsing Yelp's Responses • Responses encoded in JSON format • libjson - will allow extraction of relevant fields

  8. Summary of Week's Progress • Yelp API • libcurl - for using Yelp's HTTP-based API • libjson - for parsing Yelp's JSON-based responses • C++ Crash Course • "Accurate Image Localization Based on Google Maps Street View" Paper

  9. Lots of Fun (doing Computer Vision Research) Test POI Identification: Manually identify stores given image and geolocation using Yelp Application Design:Obtain businesses of neighborhood of image geolocation Weekend Objectives

  10. Thank You

More Related