Summarization of online image collections via implicit feedback

The availability of map interfaces and location-aware devices makes a growing amount of unstructured, geo-referenced information available on the Web. In particular, over twelve million geo-referenced photos are now available on Flickr, a popular photo-sharing website. We show a method to analyze the Flickr data and generate aggregate knowledge in the form of "representative tags" for arbitrary areas in the world. We display these tags on a map interface in an interactive web application along with images associated with each tag. We then use the implicit feedback of the aggregate user interactions with the tags and images to learn which images best describe the area shown on the map. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous General Terms algorithms, human factors Keywords image summarization, implicit feedback, geo-referenced data, photographs, tagging, geotagged, visualization

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Shane Ahern, Simon King, Mor Naaman, Rahul Nair
• Keywords: Geo-referenced Data, Geo-referenced Photos, Implicit Feedback, Internet Technology, WWW 2007