Tag: image exploration

Photo tagging ?>

Photo tagging

While at Yahoo! Research I was involved in various projects on analyzing, extending and utilizing tagging of Flickr photos. We analyzed what type of tags users applied to their photos and devised a method for classifying those tags into semantic categories. We developed two prototypes, one for tag recommendation and and one for tag based browsing of photos. We started our tag analysis by mapping tags to WordNet broad categories and found out that while users annotations are sparse, they…

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Faceted exploration of image search results ?>

Faceted exploration of image search results

Roelof van Zwol, Börkur Sigurbjörnsson, Ramu Adapala, Lluis Garcia Pueyo, Abhinav Katiyar, Kaushal Kurapati, Mridul Muralidharan, Sudar Muthu, Vanessa Murdock, Polly Ng, Anand Ramani, Anuj Sahai, Sriram Thiru Sathish, Hari Vasudev, and Upendra Vuyyuru.
Faceted exploration of image search results
In: WWW ’10: Proceedings of the 19th international conference on World wide web.

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Point of Interest Exploration with Yahoo! Image Search ?>

Point of Interest Exploration with Yahoo! Image Search

One of my most fruitful project while working at Yahoo! Research was a collaboration with the Yahoo! Image Search team. We built system for extracting and ranking points of interest for towns, countries and regions. The points of interest were extracted from Wikipedia, Yahoo! GeoPlanet and Yahoo! Travel. The ranking was based on co-occurrence statistics from Flickr photos and Yahoo! Image Search query logs. The resulting data package was generated by the research team and applied by Yahoo! Image Search…

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TagExplorer ?>


The TagExplorer was prototype that I made while at Yahoo! Research in Barcelona. The TagExplorer enabled browsing Flickr photos using semantically organized tag clouds. The prototype combined two research projects that I was working on at the time, tag recommendation and tag classification (see references below). For example, if the user typed in London, they would be presented with photos from London (obviously), together with semantically categorized refinement suggestions, such as the locations England and Southwark or the landmarks Big…

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