{ "eprintid": "167", "rev_number": "7", "eprint_status": "archive", "dir": "disk0/00/00/01/67", "datestamp": "2009-04-06 19:13:47", "lastmod": "2009-04-14 04:37:12", "status_changed": "2009-04-06 19:13:47", "type": "conference_item", "metadata_visibility": "show", "item_issues_count": "0", "creators": { "item": { "name": { "family": "Yanai", "given": "Keiji" }, "id": "", "country": "", "affiliation": "The University of Electro-Communications" }, "item": { "name": { "family": "Qiu", "given": "Bingyu" }, "id": "", "country": "", "affiliation": "Beijing University of Posts and Technology" } }, "track": "Poster Session", "title": "Mining Cultural Differences from a Large Number of Geotagged Photos", "ispublished": "pub", "full_text_status": "public", "pres_type": "poster", "abstract": "We propose a novel method to detect cultural differences over the world automatically by using a large amount of geotagged images on the photo sharing Web sites such as Flickr. We employ the state-of-the-art object recognition technique developed in the research community of computer vision to mine representative photos of the given concept for representative local regions from a large-scale unorganized collection of consumer-generated geotagged photos. The results help us understand how objects, scenes or events corresponding to the same given concept are visually different depending on local regions over the world.", "date": "2009-04", "pagerange": "1173-1173", "event_title": "18th International World Wide Web Conference", "event_location": "Madrid, Spain", "event_dates": "April 20th-24th, 2009", "event_type": "conference", "refereed": "TRUE", "documents": { "document": { "docid": "167", "rev_number": "4", "eprintid": "167", "pos": "1", "format": "application/pdf", "language": "en", "security": "public", "main": "p1173.pdf", "content": "published", "files": { "file": { "filename": "p1173.pdf", "filesize": "2359767", "url": "http://www2009.eprints.org/167/1/p1173.pdf" } } } } }