Computers and Intractability; A Guide to the Theory of NP-Completeness
Computers and Intractability; A Guide to the Theory of NP-Completeness
Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Region-based image retrieval using integrated color, shape, and location index
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The Design of High-Level Features for Photo Quality Assessment
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Photo and Video Quality Evaluation: Focusing on the Subject
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
MediaGLOW: organizing photos in a graph-based workspace
Proceedings of the 14th international conference on Intelligent user interfaces
A smart clustering algorithm for photo set obtained from multiple digital cameras
Proceedings of the 2009 ACM symposium on Applied Computing
Photo assessment based on computational visual attention model
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A next generation browsing environment for large image repositories
Multimedia Tools and Applications
PHOTOLAND: a new image layout system using spatio-temporal information in digital photos
Proceedings of the 2010 ACM Symposium on Applied Computing
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The affordability of digital cameras, storages, processors and the advances in these areas are encouraging people to take hundreds of photos at once. However, managing the large number of photographs involves arduous tasks such as selecting good quality photos and classifying and labeling each photo. Generally, users put their photos into certain user-designated folders on their local PC without considering any classified information. One of the main problems related to this management method is that users do not create their photo folders systematically because they are carelessness and apathetic. This practice results in confusion when users want to find their photos. One method to overcome this problem is to construct a central photo management system that can manage many photos on the user's local PC. It also can provide smart functions such as automated clustering and summarized visualization for many photos. This paper describes an integrated photo management system coupled with a database on the web, which provides users with an automated photo clustering and visualization function that allows photo overlaps. Our system also provides users with an automated photo quality evaluation based on Depth of Field (DOF) and blur. In order to evaluate our system, we conducted a user study on user-friendliness based on a questionnaire.