Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Visual search connects physical (offline) objects with (online) digital media. Using objects from the environment, like newspapers, magazines, books and posters, we can retrieve s...
Jamey Graham, Jorge Moraleda, Jonathan J. Hull, Ti...
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cop...
In this paper we study the connection between sentiment of images expressed in metadata and their visual content in the social photo sharing environment Flickr. To this end, we co...
Stefan Siersdorfer, Enrico Minack, Fan Deng, Jonat...
We present a mobile product recognition system for the camera-phone. By snapping a picture of a product with a camera-phone, the user can retrieve online information of the produc...
Sam S. Tsai, David M. Chen, Vijay Chandrasekhar, G...