Details
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 9781479970797 |
| Publication status | Published - 28 Jul 2015 |
| Event | 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 - Turin, Italy Duration: 29 Jun 2015 → 3 Jul 2015 |
Publication series
| Name | 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 |
|---|
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.
Keywords
- Digital Preservation, Human Expectations, Long-term Memories, Photo Selection
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Engineering(all)
- Media Technology
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2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7169750 (2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Investigating human behaviors in selecting personal photos to preserve memories
AU - Ceroni, Andrea
AU - Solachidis, Vassilis
AU - Fu, Mingxin
AU - Kanhabua, Nattiya
AU - Papadopoulou, Olga
AU - Niederee, Claudia
AU - Mezaris, Vasileios
PY - 2015/7/28
Y1 - 2015/7/28
N2 - 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.
AB - 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.
KW - Digital Preservation
KW - Human Expectations
KW - Long-term Memories
KW - Photo Selection
UR - http://www.scopus.com/inward/record.url?scp=84945543860&partnerID=8YFLogxK
U2 - 10.1109/ICMEW.2015.7169750
DO - 10.1109/ICMEW.2015.7169750
M3 - Conference contribution
AN - SCOPUS:84945543860
T3 - 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
BT - 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
Y2 - 29 June 2015 through 3 July 2015
ER -