World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Photo-based question answering
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Spirittagger: a geo-aware tag suggestion tool mined from flickr
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Tag Suggestr: Automatic Photo Tag Expansion Using Visual Information for Photo Sharing Websites
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Placing flickr photos on a map
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
iPiccer: automatically retrieving and inferring tagged location information from web repositories
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Mining a Multilingual Geographical Gazetteer from the Web
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Proceedings of the ACM International Conference on Image and Video Retrieval
MonuAnno: automatic annotation of georeferenced landmarks images
Proceedings of the ACM International Conference on Image and Video Retrieval
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This paper presents a prototype of an image centric information album, where the goal is to automatically provide the user with information about i) the object or event depicted in an image, and ii) the surrounding where the image was taken. The system, called InfoAlbum, aims at improving the image viewing experience by presenting supplementary information such as location names, tags, temperature at image capture time, placement on map, geographically nearby images, Wikipedia articles and web pages. The information is automatically collected from various sources on the Internet based on the image metadata gps coordinates, date/time of image capture and a category keyword provided by the user. Collected information is presented to the user, and some is also stored in the EXIF header of the image and can later be used during image retrieval.