Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automatic organization for digital photographs with geographic coordinates
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
My digital photos: where and when?
Proceedings of the 13th annual ACM international conference on Multimedia
Generating summaries for large collections of geo-referenced photographs
Proceedings of the 15th international conference on World Wide Web
GeoPix: image retrieval on the geo web, from camera click to mouse click
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
Identification of scene locations from geotagged images
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Multi-day and multi-stay travel planning using geo-tagged photos
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
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In this research, we propose a method to automatically generate a landmark identification system for geo-tagged photographs, based on analysis of various data collected from the Web. The method first conducts Web analysis based on three major procedures: (1) Automatic extraction of points-of-interest (POIs) based on geographical clustering of geo-tagged images, (2) Retrieval of landmark candidates for each extracted POI from search results of map search API, and (3) Collection and feature extraction of Web images of the landmark candidates. The system then identifies the landmark which appears in the query geo-tagged photograph, by comparing the location and content-based features of the query with the information accumulated by the previous procedures. Experimental results show that the proposed method is capable to construct a highly accurate landmark identification system by leveragingWeb information.