The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Does organisation by similarity assist image browsing?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps
Proceedings of the 14th annual ACM symposium on User interface software and technology
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Supporting Ranked Boolean Similarity Queries in MARS
IEEE Transactions on Knowledge and Data Engineering
How do people manage their digital photographs?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos
IV '00 Proceedings of the International Conference on Information Visualisation
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Context data in geo-referenced digital photo collections
Proceedings of the 12th annual ACM international conference on Multimedia
Collaborating around collections: informing the continued development of photoware
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Time quilt: scaling up zoomable photo browsers for large, unstructured photo collections
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PhotoSim: Tightly Integrating Image Analysis into a Photo Browsing UI
SG '08 Proceedings of the 9th international symposium on Smart Graphics
Interactive browsing of image repositories
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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In this paper we describe a new interface for browsing and sorting of digital pictures. Our approach is two-fold. First we present a new method to automatically identify similar images and rate them based on sharpness and exposure quality of the images. Second we present a zoomable user interface based on the details-on-demand paradigm enabling users to browse large collections of digital images and select only the best images for further processing or sharing.