Paper Info
Title
Investigating human behaviors in selecting personal photos to preserve memories
Abstract
Photos are excellent means for keeping and refreshing memories. Digital photography, however, imposes new challenges for keeping photos accessible on the long run due to threats such as hard disk crashes, format changes, or storage medium decay. Safe long-term preservation, ensuring the longevity of photos, comes at a cost, suggesting a restriction of this investment to the most valuable photos. Therefore, understanding how people behave when selecting their most valuable photos from large collections is an important first step towards the development of automatic preservation approaches. In this paper, we conduct a user study of 35 participants in selecting personal photos for long-term preservation. The results of the study provide insights for the photo selection process. In addition, we propose a photo selection method based on machine learning and compared human selections with leading edge clustering techniques, highlighting significant issues in emulating human decision patterns.
Year
DOI
Venue
2015
10.1109/ICMEW.2015.7169750
ICME Workshops
Keywords
Field
DocType
Photo Selection, Digital Preservation, Human Expectations, Long-term Memories
Computer vision,Digital preservation,Digital photography,Visualization,Computer science,Feature extraction,Human behavior,Artificial intelligence,Cluster analysis
Conference
ISSN
Citations 
PageRank 
2330-7927
2
0.37
References 
Authors
14
7
Name
Order
Citations
PageRank
Andrea Ceroni1547.52
Vassilios Solachidis214512.08
Mingxin Fu330.73
Nattiya Kanhabua434626.35
Olga Papadopoulou5303.75
Claudia Niederée6343.50
Vasileios Mezaris780381.40