FotoFile: a consumer multimedia organization and retrieval system
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Evaluating a visualisation of image similarity (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps
Proceedings of the 14th annual ACM symposium on User interface software and technology
Time as essence for photo browsing through personal digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
AutoAlbum: Clustering Digital Photographs using Probabilistic Model Merging
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Web-Based Intelligent Photo Browser for Flood of Personal Digital Photographs
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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We developed a new web-based intelligent photo browsing system which helps to find desired photos more efficiently from unfamiliar photo collections. We conducted a user study to assess the effectiveness of the developed photo browser (automatic photo classifier by color and timestamp, APC-CT) compared to ones with other clustering methods. The user task adopted here was to find some target photographs indicated by the experimenter from somebody else’s photo collections. The results show that APC-CT makes it faster to find the target photographs. Also, we confirmed that clustering using timestamp makes photo browsing more efficient even for unfamiliar photo collections.