An Algorithm for Finding Best Matches in Logarithmic Expected Time
ACM Transactions on Mathematical Software (TOMS)
Similarity Search in High Dimensions via Hashing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Hierarchical building recognition
Image and Vision Computing
Outdoors augmented reality on mobile phone using loxel-based visual feature organization
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Streaming mobile augmented reality on mobile phones
ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
Proceedings of the international conference on Multimedia
Descriptor learning for efficient retrieval
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
An augmented reality tourist guide on your mobile devices
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Enhancing art history education through mobile augmented reality
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
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Mobile phones with integrated digital cameras provide new ways to get access to digital information and services. Images taken by the mobile phone camera can be matched to a database of objects or scenes, which enables linking of digital information to the physical world. In this paper, we describe our method for mobile image recognition, which is a part of a pilot system for linking of magazine page images to additional digital content. Such magazine databases are highly dynamic, so the recognition method needs to support addition and deletion of images without rebuilding the whole database. Meanwhile we significantly reduce the memory cost in the system without sacrificing retrieval accuracy. We present recognition results with two different databases.