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2011
IEEE

Clues from the Beaten Path: Location Estimation with Bursty Sequences of Tourist Photos

8 years 2 months ago
Clues from the Beaten Path: Location Estimation with Bursty Sequences of Tourist Photos
Image-based location estimation methods typically recognize every photo independently, and their resulting reliance on strong visual feature matches makes them most suited for distinctive landmark scenes. We observe that when touring a city, people tend to follow common travel patterns—for example, a stroll down Wall Street might be followed by a ferry ride, then a visit to the Statue of Liberty. We propose an approach that learns these trends directly from online image data, and then leverages them within a Hidden Markov Model to robustly estimate locations for novel sequences of tourist photos. We further devise a setto-set matching-based likelihood that treats each “burst” of photos from the same camera as a single observation, thereby better accommodating images that may not contain particularly distinctive scenes. Our experiments with two large datasets of major tourist cities clearly demonstrate the approach’s advantages over methods that recognize each photo individuall...
Chao-Yeh Chen, Kristen Grauman
Added 08 Apr 2011
Updated 29 Apr 2011
Type Journal
Year 2011
Where CVPR
Authors Chao-Yeh Chen, Kristen Grauman
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